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Protein

Proteins are large, complex macromolecules composed of one or more long chains of amino acids linked by peptide bonds, serving as the fundamental building blocks and functional workhorses of living cells and organisms.^[1] These molecules, encoded by genes in DNA, adopt unique three-dimensional structures that determine their diverse roles, including enzymatic catalysis, structural support, transport, signaling, and immune defense.^[2] With 20 standard amino acids forming their primary sequence, proteins fold into secondary structures like alpha helices and beta sheets, tertiary folds stabilized by noncovalent interactions, and sometimes quaternary assemblies of multiple subunits, all of which are essential for biological function.^[3] The synthesis of proteins, known as translation, occurs on ribosomes in the cytoplasm, where messenger RNA (mRNA) templates direct the assembly of amino acids carried by transfer RNA (tRNA), consuming energy from GTP and often involving post-translational modifications in the endoplasmic reticulum and Golgi apparatus.^[3] This process ensures that each protein has a specific amino acid sequence dictated by the genetic code, which not only defines its shape but also its precise function, as even minor sequence variations can lead to diseases like sickle cell anemia.^[2] Chaperone proteins assist in proper folding to prevent aggregation, highlighting the intricate balance required for protein stability and activity.^[2] In terms of functions, proteins are indispensable for virtually every physiological process: enzymes accelerate chemical reactions by lowering activation energy, structural proteins like collagen and actin provide mechanical support and enable movement, transport proteins such as hemoglobin carry oxygen, hormones like insulin regulate metabolism, and antibodies defend against pathogens.^[1] Approximately 80% of the body's biochemical reactions rely on enzymes, underscoring proteins' catalytic dominance, while their denaturation—unfolding due to heat, pH changes, or chemicals—can disrupt these roles, as seen in conditions like cystic fibrosis from misfolded proteins.^[3] Overall, proteins constitute about 15-20% of the human body's mass and are continuously turned over, with dietary amino acids replenishing essential types that cannot be synthesized endogenously.^[1]

Introduction and History

Definition and etymology

Proteins are large biomolecules and macromolecules composed of one or more long chains of amino acid residues, playing essential roles in the structure, function, and regulation of living organisms.^[3] These chains, known as polypeptides, are formed through the linkage of amino acids via peptide bonds, resulting in complex structures that enable proteins to carry out a wide array of biological tasks.^[3] The building blocks of proteins are the 20 standard amino acids, which are covalently joined in specific sequences determined by genetic information.^[1] Proteins perform diverse functions, including enzymatic catalysis to accelerate chemical reactions, signaling to transmit messages between cells, and providing structural support to maintain cellular and tissue integrity.^[1] For instance, enzymes like amylase facilitate digestion, while structural proteins such as collagen reinforce connective tissues.^[3] The term "protein" originates from the Greek word prōteios, meaning "primary" or "of first importance," reflecting the recognition of these molecules' central role in nutrition and physiology.^[4] It was coined in 1838 by the Swedish chemist Jöns Jacob Berzelius in a letter to the Dutch chemist Gerrit Jan Mulder, who had observed that various organic substances shared a similar empirical composition; Berzelius proposed the name to emphasize their fundamental importance.^[4] This etymology underscores the early understanding of proteins as the "first rank" components of living matter.^[5]

Historical development

The study of proteins originated in the early 19th century, as chemists began isolating and characterizing organic substances from plant and animal sources. In 1838, Dutch chemist Gerardus Johannes Mulder conducted systematic analyses of substances like albumin from blood and casein from milk, proposing that they shared a common composition and dubbing them "protein bodies" based on their elemental makeup, primarily carbon, hydrogen, nitrogen, and oxygen.^[6] This work laid the groundwork for recognizing proteins as a distinct class of biological molecules essential to life. In 1838, Swedish chemist Jöns Jacob Berzelius coined the term "protein" from the Greek word "proteios," meaning "primary" or "of first importance," to emphasize their fundamental role in living organisms, building on Mulder's findings.^[7] By the mid-19th century, investigations expanded into proteins' nutritional significance. In 1840, German chemist Justus von Liebig demonstrated through animal feeding experiments that proteins were indispensable for growth and maintenance, distinguishing them from carbohydrates and fats as the sole source of nitrogen for tissue building; this established the concept of proteins as the cornerstone of animal chemistry and nutrition.^[8] Advancing into the 20th century, structural insights emerged. In 1901, German chemist Emil Fischer proposed the peptide bond hypothesis, suggesting that proteins are linear polymers of amino acids linked by amide bonds, supported by his synthesis of simple di- and tripeptides; this idea was further corroborated by Franz Hofmeister's concurrent studies on protein hydrolysis yielding amino acids. A pivotal experimental milestone came in 1926 when American biochemist James B. Sumner crystallized the enzyme urease from jack bean meal, providing the first evidence that enzymes are proteins and earning him the 1946 Nobel Prize in Chemistry.^[9] Mid-20th-century advances focused on protein structure and function, integrating physical and biochemical methods. In 1951, Linus Pauling and colleagues proposed the alpha-helix and beta-sheet as common secondary structures in proteins, based on model-building and X-ray diffraction data, revolutionizing understanding of polypeptide chain configurations. The year 1958 marked the determination of the first three-dimensional protein structure when John Kendrew's team used X-ray crystallography to resolve the atomic model of sperm whale myoglobin at 6 Å resolution, revealing a compact globular fold with a heme prosthetic group. Techniques for protein analysis also evolved; in the late 1960s, Ulrich K. Laemmli developed sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) in 1970, enabling separation of proteins by molecular weight for purification and characterization. Further progress linked proteins to genetics. The 1953 Watson-Crick model of DNA structure provided the framework for understanding how genetic information encodes proteins. In 1961, Marshall Nirenberg and J. Heinrich Matthaei deciphered the first codon of the genetic code using cell-free protein synthesis, showing that polyuridylic acid directed incorporation of phenylalanine, initiating the full elucidation of how DNA sequences specify amino acid order in proteins. By 1972, Christian Anfinsen's experiments on ribonuclease demonstrated that the native structure of a protein is determined solely by its amino acid sequence under physiological conditions, establishing the thermodynamic hypothesis of protein folding for which he shared the 1972 Nobel Prize in Chemistry.

Chemical Structure

Primary structure

The primary structure of a protein refers to the linear sequence of amino acids covalently linked by peptide bonds to form a polypeptide chain, serving as the foundational blueprint that dictates the protein's identity, function, and potential for higher-order folding.^[10] This sequence is unique to each protein and arises from the specific order of amino acids, which can range from tens to thousands in length, ensuring structural specificity essential for biological roles such as enzymatic catalysis or structural support.^[10] Proteins are composed of 20 standard amino acids, each characterized by a central alpha carbon atom bonded to a hydrogen, a carboxyl group, an amino group, and a variable side chain (R group) that imparts distinct chemical properties.^[11] For instance, glycine (Gly) has the simplest side chain (a hydrogen atom), conferring flexibility, while alanine (Ala) features a methyl group, contributing to hydrophobic interactions.^[11] Side-chain properties include hydrophobicity (e.g., in leucine), charge (acidic in aspartic acid, which carries a negatively charged carboxyl group at physiological pH; basic in lysine, with a positively charged amino group), and polarity, which influence the protein's solubility, stability, and interactions.^[12] Peptide bonds form through a condensation reaction between the carboxyl group of one amino acid and the amino group of another, releasing a water molecule and creating a covalent amide linkage with partial double-bond character that restricts rotation.^[13] The resulting backbone has the repeating general formula -[NH-CHR-CO]-, where R represents the unique side chain of each amino acid, forming a rigid, planar structure around the bond.^[12] This linkage connects amino acids in an N-terminal to C-terminal direction, with the N-terminus bearing a free amino group and the C-terminus a free carboxyl group.^[13] Determining the primary structure is crucial for understanding protein function, as it reveals the exact amino acid order necessary for proper activity and can identify mutations affecting disease.^[10] A seminal method for this is Edman degradation, developed in the late 1940s and refined in the 1950s, which sequentially removes and identifies the N-terminal amino acid as a phenylthiohydantoin derivative using phenylisothiocyanate, allowing step-by-step sequencing of peptides up to 50-60 residues long.^[14] Although primarily linear, the primary structure can include covalent variations such as disulfide bridges, formed by the oxidation of sulfhydryl groups (-SH) from two cysteine residues, creating a -S-S- linkage that stabilizes the chain.^[15] These bridges are considered part of the primary structure due to their covalent nature and are common in extracellular proteins for enhanced stability.^[15] The primary sequence ultimately encodes the information guiding protein folding into functional three-dimensional forms.^[10]

Secondary structure

The secondary structure of proteins refers to the local three-dimensional conformations of segments of the polypeptide backbone, primarily stabilized by hydrogen bonds between the carbonyl oxygen and amide hydrogen atoms within the backbone. These structures form regular patterns that are independent of the amino acid side chains, driven instead by the inherent geometry of the peptide bond and the flexibility of the backbone. The most common secondary structural elements are alpha-helices, beta-sheets, turns, and loops, each characterized by specific dihedral angles and hydrogen bonding patterns. The alpha-helix is a right-handed coiled structure in which the polypeptide backbone folds into a spiral with 3.6 amino acid residues per turn and a pitch of 5.4 Å, corresponding to a rise of 1.5 Å per residue along the helical axis. In this configuration, hydrogen bonds form between the carbonyl oxygen of residue i and the amide hydrogen of residue i+4, stabilizing the helix parallel to its axis. Beta-sheets consist of two or more beta-strands—extended polypeptide segments—aligned laterally to form pleated sheets, with hydrogen bonds between the carbonyl oxygen of one strand and the amide hydrogen of an adjacent strand. Beta-sheets can be parallel, where strands run in the same N-to-C-terminal direction, or antiparallel, where adjacent strands run in opposite directions, with antiparallel sheets exhibiting more linear hydrogen bonds and greater stability. Turns and loops are irregular elements that connect alpha-helices and beta-strands, often involving tight reversals in chain direction, such as beta-turns where the chain folds back on itself over four residues. These secondary structures are constrained by the allowed values of the backbone dihedral angles, denoted as \phi (phi, rotation around the N-Cα bond) and \psi (psi, rotation around the Cα-C bond), which are visualized in the Ramachandran plot. The plot delineates regions of allowed (\phi, \psi) combinations based on steric hindrance from atomic overlaps, with core areas corresponding to alpha-helices (\phi \approx -60^\circ, \psi \approx -45^\circ) and beta-sheets (\phi \approx -120^\circ, \psi \approx 120^\circ), while disallowed regions reflect unfavorable clashes. The formation of secondary structures arises primarily from the backbone's conformational preferences, with side chains influencing stability secondarily but not dictating the initial folding. Representative examples illustrate these elements in natural proteins. In alpha-keratins, such as those in human hair and wool, the polypeptide chains predominantly form coiled alpha-helices that dimerize into protofilaments, providing tensile strength and elasticity. Conversely, silk fibroin from the Bombyx mori silkworm consists largely of antiparallel beta-sheets, where repeating Gly-Ala sequences stack into crystalline layers, conferring high mechanical rigidity and toughness to the fiber. These local conformations contribute to the overall protein fold but are distinct from long-range interactions.

Tertiary and quaternary structures

The tertiary structure of a protein refers to the overall three-dimensional arrangement of a single polypeptide chain, resulting from interactions between amino acid side chains that are distant in the primary sequence. This global fold is primarily stabilized by non-covalent forces, including hydrophobic interactions that drive nonpolar residues to cluster in the protein's interior core, away from the aqueous environment; hydrogen bonds between polar side chains; ionic bonds or salt bridges between oppositely charged residues; and van der Waals attractions between closely packed atoms. Disulfide bonds, which are covalent linkages between cysteine residues, can further reinforce the structure in some proteins, particularly those in oxidizing environments like the extracellular space. Molecular chaperones, such as Hsp70 and Hsp90 families, play a crucial role in assisting this folding process by binding to nascent or misfolded polypeptides, preventing aggregation, and facilitating proper conformation through ATP-dependent cycles, thereby ensuring efficient navigation of the folding landscape. The quaternary structure describes the spatial arrangement and non-covalent association of multiple polypeptide subunits into a functional protein complex, often enhancing stability, regulation, or cooperative function. These subunit interfaces are typically stabilized by the same types of non-covalent interactions as in tertiary structure—hydrophobic contacts, hydrogen bonds, ionic interactions, and van der Waals forces—without requiring covalent links between chains. A classic example is hemoglobin, which consists of four subunits (two α and two β chains) that assemble to enable cooperative oxygen binding, with interfaces burying significant surface area to maintain the tetrameric form. In contrast, myoglobin exemplifies a protein with only tertiary structure, as it functions as a monomeric oxygen-storage unit in muscle cells, featuring eight α-helices packed around a heme prosthetic group without additional subunits. For example, in insulin, the A and B chains are linked by two interchain disulfide bonds (with an intra-chain disulfide in the A chain) as part of its tertiary structure; these monomeric units further oligomerize non-covalently into dimers or hexamers (quaternary structure) for storage in pancreatic beta cells.^[16] The integration of structural levels underscores that the primary amino acid sequence ultimately dictates the tertiary fold, as demonstrated by the Anfinsen dogma, which posits that a protein's native conformation is thermodynamically determined by its sequence under physiological conditions. This was experimentally validated through denaturation and renaturation experiments on ribonuclease A, where the unfolded protein spontaneously refolded into its active form upon removal of denaturants, indicating that all necessary folding information resides in the sequence. The Levinthal paradox, which questions how proteins achieve their native fold in biologically relevant timescales despite an astronomically large conformational space, is resolved by the existence of directed folding pathways or funnels, where local secondary structures form early and guide progressive stabilization through energy minima, often assisted by chaperones. Disruption of these higher-order structures can lead to denaturation, the loss of tertiary and quaternary conformations due to heat, pH changes, or chemicals, rendering the protein inactive; however, many proteins can renature upon restoration of native conditions, reaffirming sequence-encoded folding. Pathological misfolding, where proteins adopt aberrant conformations resistant to degradation, underlies diseases like Alzheimer's, where accumulation of β-amyloid aggregates and tau tangles disrupts neuronal function and triggers neurotoxicity.

Domains and Motifs

Protein domains

Protein domains are compact, semi-independent structural units within proteins, typically comprising 50 to 350 amino acid residues, that fold independently into stable, globular structures with hydrophobic cores and hydrophilic surfaces.^[17] These units serve as the fundamental building blocks for protein architecture, enabling modular organization that supports diverse biological roles.^[17] Protein domains often evolve through genetic recombination, allowing for the assembly of new proteins by combining existing modules.^[18] In multi-domain proteins, individual domains are frequently connected by flexible linker regions, which permit relative movement while maintaining overall structural integrity.^[17] A classic example is the antibody molecule, where immunoglobulin heavy and light chains each contain variable and constant domains; the variable domains (VH and VL) form the antigen-binding site, while constant domains (CH and CL) mediate effector functions.^[19] These domains contribute to the protein's tertiary fold by packing together to form the complete three-dimensional structure.^[17] Protein domains perform specialized functions, such as ligand binding or enzymatic catalysis, often within dedicated active sites.^[17] The Pfam database catalogs these domain families through curated multiple sequence alignments and profile hidden Markov models, facilitating the identification and annotation of over 21,000 families across protein sequences.^[20] Evolutionarily, protein domains arise and diversify via mechanisms like domain shuffling and accretion, particularly in eukaryotes, where recombination events generate novel combinations that enhance functional complexity.^[18] For instance, the SH2 domain, which is specific to animals, has undergone extensive shuffling to pair with 19 different partner domains, enabling intricate tyrosine kinase signaling pathways.^[18] Domains are identified computationally through sequence homology searches, such as those using profile hidden Markov models in Pfam, or by structure superposition methods that align three-dimensional models from databases like CATH or SCOP.^[17] These approaches detect conserved features, revealing evolutionary relationships even among distantly related proteins.^[17]

Sequence and structural motifs

Sequence and structural motifs refer to short, recurring patterns in protein primary sequences or three-dimensional structures that often signal specific functional sites, such as binding or catalytic regions. These motifs are typically conserved across diverse proteins due to their critical roles in biological processes, allowing researchers to infer function from sequence or structural data.^[21] Unlike larger protein domains, which are independent folding units, motifs are smaller signatures embedded within sequences or folds that contribute to localized functionality.^[21] Sequence motifs are linear patterns of amino acids, often 10-20 residues long, that indicate functional elements like nucleotide-binding sites. A classic example is the Walker A motif, also known as the P-loop, with the consensus sequence GXXXXGK[T/S], where X represents any amino acid; this motif binds the phosphate groups of ATP or GTP in numerous ATPases and GTPases.^[22] The adjacent Walker B motif, featuring a conserved aspartate or glutamate (e.g., hhhhDE, where h is a hydrophobic residue), coordinates a magnesium ion essential for nucleotide hydrolysis.^[22] These motifs are detected computationally using regular expressions for exact pattern matching or hidden Markov models (HMMs) for accommodating sequence variations and insertions/deletions.^[23]^[24] Structural motifs, in contrast, are defined by their three-dimensional arrangements rather than linear sequences, frequently involving specific secondary structure elements that enable interactions like ligand binding. The helix-turn-helix (HTH) motif, consisting of two alpha helices connected by a short turn, is a common DNA-binding structure found in many transcription factors, where the recognition helix inserts into the DNA major groove.^[25] Another prominent example is the EF-hand motif, a helix-loop-helix fold approximately 29 residues long, with a 12-residue loop that coordinates calcium ions via oxygen atoms from side chains like aspartate and glutamate; this motif is prevalent in calcium-sensing proteins such as calmodulin.^[26]^[27] Specific examples illustrate the functional diversity of these motifs. The zinc finger motif, particularly the Cys2His2 type, features a beta-beta-alpha fold stabilized by tetrahedral coordination of a zinc ion via two cysteines and two histidines, enabling sequence-specific DNA or RNA binding in transcription factors.^[28]^[29] The leucine zipper motif, characterized by a coiled-coil dimerization interface with leucines spaced every seven residues along an alpha helix, facilitates protein-protein interactions for oligomerization in regulators like bZIP transcription factors.^[30]^[31] These motifs often reside within larger protein domains, enhancing their modularity. The evolutionary conservation of sequence and structural motifs underscores their importance, as they are preserved across species to maintain core functions like enzymatic activity or signaling.^[21]^[32] This conservation enables function prediction from genomic sequences alone, aiding annotation of uncharacterized proteins in large-scale studies.^[33] Databases like PROSITE serve as key resources, cataloging thousands of motifs with associated patterns, profiles, and functional annotations derived from curated literature.^[34]^[35]

Classification

By structure

Proteins are classified by structure primarily according to their three-dimensional architecture and associated solubility properties, which reflect distinct folding patterns at the whole-protein level rather than specific biological roles.^[36] This classification encompasses globular, fibrous, membrane, and intrinsically disordered proteins, with overlaps possible in multi-domain architectures.^[37] Globular proteins exhibit a compact, roughly spherical shape with a hydrophobic core and hydrophilic surface, rendering them soluble in aqueous environments.^[38] Their folded structure often allows dynamic conformational changes that support various activities.^[12] A representative example is lysozyme, an enzyme with a tightly packed fold stabilized by hydrogen bonds and disulfide bridges.^[39] In contrast, fibrous proteins possess elongated, thread-like structures that are typically insoluble in water and provide mechanical strength.^[38] These proteins often form higher-order assemblies such as filaments or coils. For instance, collagen features a triple-helical motif where three polypeptide chains wind together, contributing to tensile resilience in connective tissues.^[36] Keratin, another example, consists of alpha-helical coils that dimerize into coiled-coil dimers, forming robust networks in hair and nails. Membrane proteins are categorized into integral and peripheral types based on their interaction with lipid bilayers. Integral membrane proteins are embedded within the membrane, often via transmembrane alpha-helices or beta-barrels that span the hydrophobic core.^[40] G-protein coupled receptors (GPCRs) exemplify this, with seven transmembrane helices forming a bundle that orients extracellular and intracellular domains.^[41] Peripheral membrane proteins, by comparison, associate loosely with the membrane surface through electrostatic or hydrophobic interactions without deep embedding.^[42] A distinct category includes intrinsically disordered proteins (IDPs), which lack a stable three-dimensional fold under physiological conditions and instead adopt flexible, extended conformations.^[43] These proteins are often enriched in charged and polar residues, enabling rapid adaptability. Tau protein serves as a key example, existing in a largely unstructured state that allows interactions with multiple partners in neuronal processes.^[44]

By function

Proteins are classified by function based on their biological roles in cellular and organismal processes, encompassing catalysis, structural support, molecular transport, signaling, storage, defense, and contraction. This functional taxonomy highlights how proteins execute diverse tasks essential for life, often overlapping with their structural adaptations but prioritized here by purpose.^[3] Enzymes represent a primary class, acting as catalysts to accelerate biochemical reactions by lowering activation energy, with approximately 90% of cellular reactions relying on enzymes. Structural proteins provide mechanical support and maintain cellular architecture, such as actin in microfilaments and tubulin in microtubules. Transport proteins facilitate the movement of molecules across membranes or within fluids, exemplified by hemoglobin, which binds and carries oxygen in erythrocytes. Hormones and signaling proteins mediate intercellular communication and physiological regulation, including insulin, which modulates blood glucose levels by promoting cellular uptake.^[3] Additional subtypes include storage proteins that sequester essential nutrients for later use, like ferritin, which binds and stores iron in cells to prevent toxicity while enabling release as needed. Defense proteins protect against pathogens and foreign invaders, with antibodies (immunoglobulins) secreted by B lymphocytes to recognize and neutralize antigens. Contractile proteins enable movement and force generation, such as the interaction between actin and myosin in muscle fibers, powering contraction through ATP hydrolysis. These functional categories illustrate the versatility of proteins, with representative examples underscoring their specialized roles without exhaustive enumeration.^[3] The vast functional diversity of proteins arises evolutionarily from mechanisms like gene duplication, which allows paralogous copies to diverge and acquire new roles while retaining core functions, contributing to the expansion of protein repertoires across species. In humans, approximately 20,000 protein-coding genes generate this variety through alternative splicing and post-translational modifications, yielding numerous isoforms that fine-tune functions for specific contexts. This quantification underscores how a relatively modest gene set supports an expansive proteome capable of multifaceted biological tasks.^[45]^[46]

By cellular location

Proteins are classified by their cellular location, which reflects their roles in specific subcellular environments or extracellular spaces. In eukaryotic cells, the majority of proteins are targeted to distinct compartments post-translationally or co-translationally, with over 50% requiring translocation across at least one membrane to reach their destination.^[47] This localization ensures compartmentalization of biochemical processes, such as metabolism in the cytosol or energy production in mitochondria.^[47] Cytosolic proteins are soluble molecules that reside freely in the cytoplasm without specific targeting signals, comprising a significant portion of the cellular proteome dedicated to housekeeping functions like intermediary metabolism.^[47] For example, enzymes involved in glycolysis, such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH), operate in the cytosol to break down glucose into pyruvate, supporting energy production under anaerobic conditions.^[48] These proteins often lack hydrophobic regions that would anchor them to membranes, allowing diffusion throughout the cytoplasmic matrix.^[49] Organelle-specific proteins are directed to intracellular structures like mitochondria, nuclei, or the endoplasmic reticulum (ER) and Golgi apparatus via dedicated import machineries. In mitochondria, proteins of the respiratory chain, such as cytochrome c oxidase subunits, assemble into complexes embedded in the inner membrane to facilitate electron transport and ATP synthesis.^[50] Nuclear proteins, including histones like H3 and H4, package DNA into chromatin within the nucleus, regulating gene expression and maintaining genomic stability.^[51] In the ER and Golgi, chaperone proteins such as BiP (also known as GRP78) assist in folding nascent polypeptides and ensuring quality control during protein maturation.^[52] Membrane-bound proteins integrate into lipid bilayers of cellular or organelle membranes, often spanning the membrane with transmembrane domains. At the plasma membrane, receptors like G-protein-coupled receptors (GPCRs) and epidermal growth factor receptor (EGFR) detect extracellular signals and transduce them into intracellular responses, such as ion flux or gene activation.^[53]^[54] These proteins contribute to cellular communication and homeostasis, with their localization anchoring them to the membrane via hydrophobic alpha-helices.^[55] Secreted proteins are exported from the cell through the secretory pathway, functioning in extracellular environments like the bloodstream or tissue matrices. Examples include antibodies, such as immunoglobulin G, which provide immune defense by binding pathogens, and digestive enzymes like trypsin, which hydrolyze proteins in the gut lumen.^[56]^[57] Extracellular matrix components, such as laminin, form structural networks that support tissue integrity and cell adhesion outside the plasma membrane.^[56] Localization is primarily governed by targeting signals, short amino acid sequences that direct proteins to their destinations. N-terminal signal peptides, typically 15-30 residues long with a hydrophobic core, mediate entry into the ER for membrane-bound and secreted proteins, where they are cleaved upon translocation.^[58] For nuclear import, nuclear localization signals (NLS) consist of clusters of basic residues, such as the monopartite sequence PKKKRKV in SV40 large T antigen, which bind importin receptors to facilitate transport through nuclear pores.^[59] These signals ensure precise distribution, with cytosolic proteins generally lacking them to remain in the cytoplasm.^[47]

Biosynthesis and Synthesis

Biological synthesis

Biological synthesis of proteins occurs through the central dogma of molecular biology, involving transcription of DNA into messenger RNA (mRNA) followed by translation of mRNA into polypeptide chains on ribosomes. This process ensures that genetic information encoded in DNA is accurately converted into functional proteins essential for cellular activities.^[60] Transcription begins when RNA polymerase binds to specific promoter sequences in the DNA, initiating the synthesis of a complementary mRNA strand from the DNA template. In eukaryotes, RNA polymerase II primarily handles mRNA production, recognizing core promoter elements such as the TATA box, while enhancers—distal regulatory DNA sequences—bind transcription factors to boost transcription rates by looping to the promoter and facilitating polymerase recruitment. In prokaryotes, transcription is regulated by operons, such as the lac operon in Escherichia coli, where a single promoter controls multiple genes, and repressor or activator proteins modulate access based on environmental signals like lactose availability. In eukaryotes, the primary transcript (pre-mRNA) undergoes processing in the nucleus, including addition of a 5' cap (7-methylguanosine), cleavage and addition of a poly(A) tail at the 3' end, and splicing by the spliceosome to remove non-coding introns and join coding exons, producing mature mRNA for export to the cytoplasm.^[61]^[62]^[63]^[64] During translation, ribosomes assemble on the mRNA in the cytoplasm, reading its sequence in triplets known as codons according to the genetic code, which consists of 64 possible codons specifying 20 standard amino acids plus three stop signals (UAA, UAG, UGA). Transfer RNAs (tRNAs), each carrying a specific amino acid, recognize codons via complementary anticodons in the ribosome's A site, ensuring precise amino acid incorporation. The process unfolds in three phases: initiation, where the small ribosomal subunit binds mRNA and scans to the start codon AUG, recruiting the initiator tRNA and large subunit to form the complete ribosome; elongation, involving sequential tRNA binding, peptide bond formation, and translocation; and termination, triggered by stop codons releasing the completed polypeptide.^[65]^[60] Peptide bond formation, catalyzed by the ribosome's peptidyl transferase center—a ribozyme activity of ribosomal RNA—links the carboxyl group of the peptidyl-tRNA in the P site to the amino group of the aminoacyl-tRNA in the A site, releasing the deacylated tRNA:

\text{peptidyl-tRNA (P site)} + \text{aminoacyl-tRNA (A site)} \rightarrow \text{peptidyl-aminoacyl-tRNA (A site)} + \text{tRNA (P site)}

This reaction proceeds without external energy input beyond GTP hydrolysis for translocation, accelerating the uncatalyzed rate by approximately 10^7-fold.^[66]^[60] As the nascent polypeptide emerges from the ribosomal exit tunnel—about 30-40 amino acids long—co-translational folding commences, with chaperone proteins like trigger factor in prokaryotes or Hsp70 in eukaryotes assisting to prevent aggregation and guide domain formation vectorially along the chain. This sequential emergence influences folding pathways, allowing early domains to stabilize before later ones are synthesized.^[60] Regulation of biological synthesis occurs at multiple levels to fine-tune protein production. Transcriptional control involves enhancers and operons that respond to cellular signals, such as nutrient availability in the lac operon, to activate or repress gene expression. Translational regulation includes microRNAs (miRNAs), small non-coding RNAs that bind mRNA 3' untranslated regions, inhibiting initiation or promoting decay to suppress protein output from specific transcripts. Following translation, proteins frequently undergo post-translational modifications, such as phosphorylation or glycosylation, to attain mature structure and function.^[67]^[63]^[68]^[69]

Chemical and recombinant synthesis

Proteins can be produced in the laboratory through chemical synthesis or recombinant DNA technology, enabling the creation of proteins not reliant on cellular machinery. Chemical synthesis primarily employs solid-phase peptide synthesis (SPPS), pioneered by Robert Bruce Merrifield in 1963, which anchors the growing peptide chain to an insoluble resin and involves iterative cycles of amino acid coupling, deprotection, and washing.^[70] In SPPS, protected amino acids are added stepwise via amide bond formation, typically using carbodiimide or other coupling agents, followed by selective deprotection of the N-terminal group to allow the next addition. This method revolutionized peptide chemistry by facilitating automation and purification through resin filtration, but it is generally limited to peptides under 50 amino acids due to cumulative yield losses from incomplete couplings and side reactions that increase with chain length.^[71] Recombinant synthesis, in contrast, leverages genetic engineering to express proteins in heterologous host organisms, offering scalability for larger proteins. The process begins with cloning the target gene into an expression vector containing regulatory elements like promoters, ribosome binding sites, and terminators; for example, the T7 promoter system in Escherichia coli drives high-level transcription via bacteriophage T7 RNA polymerase, inducible by IPTG.^[72] Common hosts include prokaryotes like E. coli for rapid, cost-effective production; yeasts such as Pichia pastoris for eukaryotic folding and secretion; and mammalian cells like CHO for complex post-translational modifications including glycosylation.^[73] Purification is streamlined by fusing affinity tags to the protein, such as the hexahistidine (His₆) tag, which enables one-step immobilized metal affinity chromatography (IMAC) under mild conditions.^[74] The landmark achievement was the 1978 production of human insulin chains in E. coli, assembled post-expression to yield the first recombinant therapeutic protein approved in 1982. Advances in these methods address limitations of scale and modification. Cell-free systems, derived from crude cell extracts supplemented with energy sources, amino acids, and nucleotides, allow in vitro transcription-translation without intact cells, supporting rapid prototyping and incorporation of non-natural amino acids; yields have improved to milligrams per milliliter in optimized wheat germ or E. coli-based reactions.^[75] Semisynthesis extends chemical approaches to larger proteins (>100 residues) by combining recombinant expression of polypeptide segments with chemical ligation; native chemical ligation (NCL), developed in 1994, chemoselectively joins an N-terminal cysteine peptide to a C-terminal thioester fragment via thiol-thioester exchange and native peptide bond formation, enabling site-specific labeling or incorporation of modifications. These techniques underpin applications in therapeutics, such as recombinant insulin and monoclonal antibodies, where E. coli or yeast hosts achieve gram-scale yields, though challenges persist in ensuring proper folding (e.g., avoiding inclusion bodies) and glycosylation fidelity, often requiring mammalian systems for biologics like erythropoietin.^[73] Recent innovations incorporate artificial intelligence to optimize recombinant expression, particularly through codon usage adaptation. Machine learning models, trained on host-specific transcriptomes, predict synonymous codon sequences that maximize translation efficiency and minimize mRNA secondary structures; for instance, recurrent neural networks have boosted E. coli yields by up to 10-fold for diverse proteins since 2021.^[76] Tools like CodonTransformer further generalize this across species, enhancing scalability for industrial biomanufacturing.^[77]

Cellular Functions

Catalysis and enzymes

Enzymes are proteins that function as biological catalysts, accelerating the rate of biochemical reactions by lowering the activation energy required for the reaction to proceed, without being altered or consumed in the process.^[78] This catalysis occurs primarily at the enzyme's active site, a specific three-dimensional region formed by amino acid residues that bind the substrate through non-covalent interactions such as hydrogen bonds, electrostatic forces, and hydrophobic effects.^[78] The binding orients the substrate molecules in a way that facilitates the transition state, stabilizing it and thus reducing the energy barrier.^[79] Two primary models describe the interaction between the enzyme's active site and the substrate. The lock-and-key model, proposed by Emil Fischer in 1894, posits that the active site has a rigid, complementary shape to the substrate, allowing precise binding akin to a key fitting a lock, which ensures specificity.^[80] In contrast, the induced fit model, introduced by Daniel E. Koshland in 1958, suggests that the active site is flexible and undergoes a conformational change upon substrate binding, optimizing the alignment for catalysis and further enhancing specificity and efficiency. Enzyme kinetics quantifies the rates of these catalyzed reactions, with the Michaelis-Menten equation providing a foundational description for many enzymes following hyperbolic kinetics:

v = \frac{V_{\max} [S]}{K_m + [S]}

where v is the initial reaction velocity, V_{\max} is the maximum velocity achieved at saturating substrate concentration [S], and K_m is the Michaelis constant, representing the substrate concentration at which v = \frac{1}{2} V_{\max} and serving as a measure of the enzyme's affinity for the substrate (lower K_m indicates higher affinity).^[81] This equation, derived from the work of Leonor Michaelis and Maud Menten in 1913, assumes steady-state conditions where the enzyme-substrate complex formation and breakdown are balanced.^[81] Enzymes are classified into seven major classes based on the type of reaction they catalyze, as defined by the Enzyme Commission (EC) numbering system established by the International Union of Biochemistry and Molecular Biology (IUBMB). These include EC 1 oxidoreductases, which catalyze oxidation-reduction reactions (e.g., dehydrogenases transferring electrons); EC 2 transferases, which transfer functional groups like methyl or phosphate (e.g., kinases); EC 3 hydrolases, which cleave bonds using water; EC 4 lyases, which form or break double bonds; EC 5 isomerases, which rearrange atoms within molecules; EC 6 ligases, which join molecules using ATP; and EC 7 translocases, which transport ions or molecules across membranes.^[82] Each enzyme receives a unique four-digit EC number reflecting its class, subclass, sub-subclass, and specific reaction.^[82] Many enzymes require non-protein cofactors to achieve full catalytic activity. Prosthetic groups are tightly or covalently bound organic molecules, such as the heme group in cytochromes, which contains an iron atom essential for electron transfer in the electron transport chain.^[83] Coenzymes, which are loosely bound and often derived from vitamins, act as transient carriers of chemical groups; for example, nicotinamide adenine dinucleotide (NAD^+) serves as an electron acceptor in oxidoreductase reactions, facilitating hydride transfer during glycolysis and the citric acid cycle.^[83] Enzyme activity is tightly regulated to maintain cellular homeostasis, with key mechanisms including allostery and inhibition. Allosteric regulation involves binding of effectors at sites distinct from the active site, inducing conformational changes that either activate or inhibit the enzyme; this was formalized in the Monod-Wyman-Changeux model in 1965, which describes cooperative transitions between tense (low-affinity) and relaxed (high-affinity) states.^[84] Inhibition can be competitive, where the inhibitor competes with the substrate for the active site, increasing apparent K_m without affecting V_{\max}, or noncompetitive, where the inhibitor binds an allosteric site, decreasing V_{\max} without altering K_m.^[85] A representative example is hexokinase, the enzyme catalyzing the first step of glycolysis (phosphorylation of glucose to glucose-6-phosphate), which is allosterically inhibited by its product glucose-6-phosphate in mammalian cells, preventing excessive glycolytic flux when downstream intermediates accumulate.51600-3/fulltext)

Structural and mechanical roles

Proteins play essential roles in providing structural integrity and mechanical support within cells and organisms, forming scaffolds that maintain shape, enable movement, and withstand physical stresses. In the cytoskeleton, actin filaments, composed of globular actin monomers polymerized into double-helical structures, provide tensile strength and facilitate cell motility and division, while microtubules, assembled from α- and β-tubulin dimers, offer compressive resistance and serve as tracks for intracellular transport. Intermediate filaments, such as those made from vimentin or keratins, form rope-like networks that resist mechanical stress and link the cytoskeleton to the extracellular matrix, ensuring cellular resilience. The extracellular matrix (ECM) relies on proteins like collagen, which forms triple-helical fibrils that impart high tensile strength—exceeding that of steel on a weight basis—and elasticity to tissues such as tendons and skin. Elastin, a cross-linked polymer of tropoelastin, provides reversible elasticity in organs like lungs and arteries, allowing repeated stretching and recoil without damage.46358-3/fulltext) Fibronectin, a multidomain glycoprotein, mediates cell adhesion by binding integrins on the cell surface to ECM components, thereby anchoring the cytoskeleton to the external environment and facilitating tissue organization.00845-6) Mechanical functions are exemplified by myosin, a motor protein that interacts with actin filaments to generate contractile forces in muscle cells, enabling movement through ATP-driven sliding of filaments. Integrins, transmembrane heterodimers, transduce mechanical signals by linking the ECM to the cytoskeleton, regulating cell shape and migration in response to physical cues. These proteins exhibit dynamic assembly and disassembly, allowing rapid remodeling in response to cellular needs, such as during wound healing or embryonic development. Mutations in structural proteins can lead to diseases; for instance, defects in dystrophin, a rod-like protein that connects the cytoskeleton to the ECM in muscle cells, cause Duchenne muscular dystrophy by compromising membrane stability and force transmission. Overall, these proteins' mechanical properties, including their ability to bear loads far exceeding biological scales, underscore their critical role in maintaining tissue architecture.

Signaling and transport

Proteins play crucial roles in cellular signaling and molecular transport, enabling communication between cells and the movement of ions, nutrients, and other molecules across membranes or through the bloodstream. Signaling proteins, such as receptors, detect extracellular cues and initiate intracellular cascades that regulate processes like growth, metabolism, and response to stimuli. Transport proteins facilitate the selective passage of substances, either passively down concentration gradients or actively against them using energy. These functions are essential for maintaining homeostasis and coordinating physiological responses across organisms. In transport, channel proteins form pores in cell membranes to allow passive diffusion of specific ions or small molecules. For instance, aquaporins are integral membrane proteins that selectively conduct water molecules across cell membranes, preventing osmotic imbalances in diverse tissues like kidneys and brain. Unlike broader porins, aquaporins exhibit high specificity and selectivity, restricting passage to water while excluding protons and other ions through a narrow, hourglass-shaped pore. Carrier proteins, another class of passive transporters, undergo conformational changes to bind and translocate substrates without forming open channels. The glucose transporter (GLUT) family exemplifies this, with GLUT1 facilitating facilitated diffusion of glucose into cells to support energy needs, particularly in erythrocytes and the blood-brain barrier. Active transport, powered by ATP hydrolysis, enables uphill movement against gradients. The sodium-potassium ATPase (Na+/K+ ATPase) is a prototypical example, pumping three sodium ions out of the cell and two potassium ions in per cycle, establishing electrochemical gradients vital for nerve impulses and nutrient uptake. Hemoglobin, a soluble transport protein in blood, binds oxygen in the lungs and releases it in tissues, leveraging cooperative binding among its four subunits to enhance efficiency under varying oxygen levels. In neurons, voltage-gated ion channels, such as sodium and potassium channels, mediate rapid ion fluxes during action potentials, enabling electrical signaling over long distances.02767-X)^[86] Signaling begins with receptor proteins that bind ligands like hormones or neurotransmitters, transducing signals across the membrane. G protein-coupled receptors (GPCRs), the largest family of cell surface receptors, activate heterotrimeric G proteins upon ligand binding, leading to dissociation and modulation of effectors. This initiates diverse pathways, including those producing second messengers like cyclic AMP (cAMP), which is generated by adenylyl cyclase and amplifies signals by activating protein kinase A. Receptor tyrosine kinases (RTKs), such as the insulin receptor, autophosphorylate upon dimerization, recruiting adaptor proteins to propagate signals through cascades like the mitogen-activated protein kinase (MAPK) pathway. The MAPK cascade involves sequential phosphorylation of kinases (Raf, MEK, ERK), culminating in transcription factor activation to regulate cell proliferation and differentiation. Peptide hormones, including glucagon, exemplify extracellular signaling; glucagon binds its GPCR on liver cells, elevating cAMP levels to promote glycogenolysis and glucose release.^[87]^[88]^[89] Regulation of these proteins ensures precise and timely responses, preventing overstimulation. Phosphorylation by kinases, such as G protein-coupled receptor kinases (GRKs), modifies receptor activity; for GPCRs, GRK-mediated phosphorylation recruits arrestins, uncoupling the receptor from G proteins and promoting internalization. Desensitization mechanisms, including homologous desensitization via arrestin binding, rapidly attenuate signaling after prolonged agonist exposure, while heterologous desensitization involves cross-talk from other pathways. These regulatory steps maintain signaling fidelity and allow adaptation to changing environments.^[90]^[91]

Defense and regulation

Proteins play crucial roles in immune defense by recognizing and neutralizing pathogens. Antibodies, also known as immunoglobulins, are Y-shaped glycoproteins produced by B cells that bind specifically to antigens on pathogens or infected cells, marking them for destruction. The immunoglobulin G (IgG) subclass, the most abundant in human serum, consists of two heavy chains and two light chains linked by disulfide bonds, with the Fab regions responsible for antigen binding and the Fc region mediating effector functions like complement activation and phagocytosis.^[19] Complement proteins form a cascade of over 30 plasma proteins that amplify immune responses by opsonizing pathogens, recruiting inflammatory cells, and directly lysing microbes through the membrane attack complex. Activation occurs via classical, lectin, or alternative pathways, all converging on C3 cleavage to initiate downstream effects.^[92] Cytokines such as interferons coordinate innate and adaptive immunity; type I interferons (e.g., IFN-α and IFN-β) are rapidly induced by viral infections and inhibit viral replication while enhancing antigen presentation and natural killer cell activity.^[93] Major histocompatibility complex (MHC) proteins present antigenic peptides to T cells, enabling adaptive immune recognition. MHC class I molecules display intracellular peptides to cytotoxic CD8+ T cells, triggering elimination of infected or malignant cells, while MHC class II molecules on antigen-presenting cells present extracellular peptides to helper CD4+ T cells, promoting B cell activation and cytokine production.^[94] These proteins ensure immune specificity and tolerance by binding diverse peptides in polymorphic grooves, with human leukocyte antigen (HLA) loci encoding the most variable MHC genes.^[95] In cellular regulation, proteins maintain homeostasis and respond to stress. Transcription factors like p53 act as tumor suppressors by binding DNA response elements to activate genes involved in DNA repair, cell cycle arrest, and apoptosis following genotoxic stress. p53 integrates signals from DNA damage sensors, with its activity modulated by posttranslational modifications such as phosphorylation and ubiquitination.^[96] Ubiquitin, a small 76-amino-acid protein, tags substrates for proteasomal degradation via E1-E2-E3 enzyme cascades, regulating protein levels critical for cell cycle progression and signal transduction; polyubiquitin chains typically linked via lysine 48 serve as degradation signals.^[97] Heat shock proteins (HSPs), including HSP70 and HSP90, function as molecular chaperones that assist in protein folding, prevent aggregation under stress, and facilitate refolding or degradation of misfolded proteins to preserve cellular proteostasis.^[98] Apoptosis, or programmed cell death, is executed by caspases, a family of cysteine proteases activated in a proteolytic cascade. Initiator caspases (e.g., caspase-8, -9) cleave and activate effector caspases (e.g., caspase-3, -7), which dismantle cellular structures by cleaving substrates like PARP and lamin, ensuring orderly cell demise without inflammation.^[99] Hormones such as insulin-like growth factors (IGFs), which are single-chain polypeptides, regulate cellular proliferation and metabolism by binding receptor tyrosine kinases, activating PI3K/Akt and MAPK pathways to promote growth and survival.^[100] Adaptive immunity, characterized by antigen-specific receptors on lymphocytes, evolved uniquely in vertebrates, emerging around 500 million years ago in jawed species with the development of RAG-mediated V(D)J recombination for antibody and T cell receptor diversity. Invertebrates rely solely on innate mechanisms, lacking this somatic diversification.^[101] This evolutionary innovation provided vertebrates with memory and specificity against evolving pathogens, distinguishing it from the conserved innate systems shared across metazoans.^[102]

Metabolism and Degradation

Protein turnover

Protein turnover refers to the dynamic process by which cells continuously degrade and recycle proteins to maintain proteostasis, balancing synthesis rates to ensure cellular homeostasis.^[103] This degradation is essential for removing damaged or unnecessary proteins, with rates varying widely across cell types and conditions.^[104] The primary intracellular pathway for selective protein degradation is the ubiquitin-proteasome system (UPS), which targets individual proteins for ATP-dependent breakdown. In this process, ubiquitin-activating enzyme (E1) forms a thioester bond with ubiquitin using ATP, transferring it to ubiquitin-conjugating enzymes (E2), which then work with ubiquitin ligases (E3) to covalently attach polyubiquitin chains to lysine residues on substrate proteins.^[97] The ubiquitinated proteins are recognized by the 26S proteasome, a large multiprotein complex that unfolds and degrades them into short peptides while recycling ubiquitin.^[105] This system handles the majority of short-lived regulatory proteins, such as cyclins involved in cell cycle control.^[106] In parallel, lysosomal pathways mediate the degradation of bulk cytoplasmic components and membrane proteins. Autophagy, a key lysosomal process, engulfs portions of the cytoplasm or organelles into double-membrane vesicles called autophagosomes, which fuse with lysosomes to form autolysosomes where hydrolases degrade the contents into amino acids and other building blocks.^[107] For membrane proteins, the endosomal-lysosomal pathway internalizes them via endocytosis, sorting them into multivesicular bodies that deliver cargo to lysosomes for proteolytic digestion.^[97] These mechanisms complement the UPS by handling larger aggregates or organelles that cannot be processed by proteasomes.^[108] Protein half-lives span a broad range, from minutes for unstable regulators like cyclins to days or longer for structural proteins such as collagen, allowing rapid responses to cellular needs while preserving stable components.^[109] Half-life is often regulated by the N-end rule pathway, where the identity of the N-terminal amino acid determines degradation susceptibility; for instance, N-terminal arginine or leucine signals rapid ubiquitination and proteasomal breakdown via E3 ligases like UBR1.^[110] This rule, first elucidated by Alexander Varshavsky, ensures precise control over protein stability.^[111] Protein turnover serves multiple critical functions, including quality control by eliminating misfolded or damaged proteins to prevent toxicity, signaling through regulated degradation of key factors like IκB to activate NF-κB pathways in immune responses, and nutrient recycling by breaking down proteins into reusable amino acids during starvation.^[112]^[106]^[113] These processes maintain proteome integrity and adapt cellular metabolism to environmental changes. Dysregulation of protein turnover contributes to diseases, notably in Parkinson's disease where impaired UPS and autophagy lead to accumulation of alpha-synuclein aggregates, triggering neuronal death through lysosomal dysfunction and proteostasis collapse.^[114]^[115] In such cases, alpha-synuclein oligomers inhibit autophagosome-lysosome fusion, exacerbating protein buildup.^[116]

Digestion and absorption

Protein digestion begins in the stomach, where the enzyme pepsin, secreted as inactive pepsinogen by chief cells, is activated in the acidic environment created by gastric hydrochloric acid.^[117] This low pH, typically ranging from 1.5 to 3.5, denatures dietary proteins and enables pepsin to cleave peptide bonds, primarily those involving aromatic amino acids like phenylalanine and tyrosine, producing large polypeptides.^[118] Pepsin's activity is optimal at pH 2, ensuring initial breakdown without complete hydrolysis.^[117] In the small intestine, further digestion occurs primarily in the duodenum and jejunum, facilitated by pancreatic enzymes secreted into the lumen.^[119] Trypsin and chymotrypsin, released from the pancreas as inactive zymogens (trypsinogen and chymotrypsinogen) and activated by enterokinase on the intestinal brush border, hydrolyze peptide bonds at the carboxyl side of lysine/arginine (trypsin) and aromatic residues (chymotrypsin), respectively, breaking polypeptides into smaller peptides and oligopeptides.^[120] Additional brush-border enzymes, such as aminopeptidases and dipeptidases from enterocytes, complete the process by liberating free amino acids and di- or tripeptides.^[121] The products of digestion—free amino acids, dipeptides, and tripeptides—are absorbed across the apical membrane of enterocytes, mainly in the jejunum, via specific transporters.^[122] The proton-coupled oligopeptide transporter PEPT1 facilitates the uptake of di- and tripeptides using a proton gradient, while individual amino acids are transported by sodium-dependent carriers like B^0AT1 for neutral types.^[123] Inside enterocytes, peptides are further hydrolyzed by cytosolic peptidases into amino acids, which then exit basolaterally via transporters such as LAT4 into the portal vein for delivery to the liver, where they undergo first-pass metabolism for protein synthesis, energy production, or other pathways.^[124] Regulation of protein digestion involves hormonal signals that coordinate gastric and pancreatic secretions. Gastrin, released by G cells in the stomach antrum in response to proteinaceous chyme, stimulates hydrochloric acid secretion to optimize pepsin activity.^[125] Cholecystokinin (CCK), secreted by I cells in the duodenum upon detection of peptides and fats, promotes pancreatic enzyme release, including trypsinogen and chymotrypsinogen, and enhances gallbladder contraction for bile delivery to aid overall digestion.^[126] Disruptions, such as in celiac disease—an autoimmune disorder triggered by gluten—lead to villous atrophy in the small intestine, impairing enzyme activity and resulting in incomplete digestion of gluten peptides, which exacerbates malabsorption.^[127] Dietary proteins must supply essential amino acids, which cannot be synthesized by the human body and are required for protein synthesis; examples include lysine, vital for collagen formation and immune function, typically obtained from sources like meat, dairy, and legumes.^[128] Inadequate intake of these, such as lysine, can limit overall protein utilization, underscoring the importance of complete protein sources in the diet.^[129]

Methods of Study

Purification and analysis

Protein purification involves isolating target proteins from complex biological mixtures, such as cell lysates or culture media, to achieve high purity for downstream applications in research and biotechnology.^[130] This process typically combines multiple techniques to exploit differences in protein physicochemical properties, including size, charge, solubility, and specific binding affinities.^[131] Effective purification maintains protein stability and activity while minimizing contamination from host cell proteins, nucleic acids, or lipids.^[132] Centrifugation serves as an initial step in protein purification to separate cellular debris and organelles from soluble proteins. Differential centrifugation applies increasing centrifugal forces to pellet components based on density and size, while density gradient centrifugation, using media like sucrose or cesium chloride, further refines separation by forming bands at equilibrium positions corresponding to buoyant densities.^[133] For instance, sucrose density gradient ultracentrifugation isolates protein complexes by sedimentation rates, achieving resolutions sufficient for native complex analysis.^[134] Chromatography is the cornerstone of protein purification, enabling scalable separation based on specific interactions. Ion-exchange chromatography separates proteins by net surface charge using charged resins, such as anion exchangers (e.g., DEAE) for negatively charged proteins or cation exchangers (e.g., CM) for positively charged ones, with elution via salt or pH gradients.^[131] Affinity chromatography leverages biospecific interactions, such as between a fused tag (e.g., His-tag) and immobilized ligand (e.g., Ni-NTA resin), allowing one-step purification with yields often exceeding 90% purity; this method was pioneered in 1968 for enzyme isolation.^[135] Size-exclusion chromatography, also known as gel filtration, resolves proteins by hydrodynamic volume through porous matrices, separating monomers from aggregates without altering native structure.^[131] Electrophoretic techniques provide high-resolution analysis and preparative separation of purified proteins. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) denatures proteins with SDS to impart uniform negative charge, separating them by molecular weight in a polyacrylamide gel under an electric field; this method, developed in 1970, remains standard for estimating purity and size. Isoelectric focusing (IEF) separates proteins by isoelectric point (pI) in a pH gradient, where migration ceases at the point of zero net charge.^[136] Two-dimensional (2D) gel electrophoresis combines IEF in the first dimension with SDS-PAGE in the second, resolving up to thousands of proteins for comprehensive profiling, as introduced in 1975.^[137] Protein quantification ensures accurate yield assessment post-purification. The Bradford assay measures microgram quantities via Coomassie Brilliant Blue G-250 dye binding to basic and aromatic amino acids, producing a color shift detectable at 595 nm; it is rapid and compatible with detergents but sensitive to interferents like SDS.^[138] The bicinchoninic acid (BCA) assay detects protein via reduction of Cu²⁺ to Cu⁺ in alkaline medium, followed by chelation with BCA for absorbance at 562 nm, offering compatibility with reducing agents and sensitivity down to 0.5 μg/mL.^[139] Activity assays, such as enzymatic kinetic measurements, quantify functional protein levels by monitoring substrate conversion rates.^[131] Purity assessment confirms isolation success through orthogonal methods. Ultraviolet (UV) spectroscopy at 280 nm quantifies protein concentration based on aromatic residue absorbance (tyrosine and tryptophan), with purity inferred from the A280/A260 ratio to detect nucleic acid contamination.^[140] Mass spectrometry (MS), including electrospray ionization (ESI) or matrix-assisted laser desorption/ionization (MALDI), verifies protein identity by accurate mass measurement and detects impurities via peptide mapping, often achieving >95% sequence coverage.^[131] Challenges in protein purification include maintaining stability during isolation, as proteins may aggregate, degrade, or lose activity due to shear forces, pH shifts, or proteolysis; stabilizers like glycerol or protease inhibitors mitigate these issues.^[132] Scalability for biotechnological production demands robust processes that transition from lab-scale (milligrams) to industrial-scale (grams to kilograms) without yield loss, often requiring optimization of resin capacities and buffer systems.^[141]

Structure determination

Protein structure determination involves experimental techniques that resolve the three-dimensional atomic coordinates of proteins, providing essential insights into their function, interactions, and mechanisms. These methods have evolved from early pioneering efforts in the mid-20th century to high-resolution approaches capable of near-atomic detail, enabling the study of proteins in various states and complexes. X-ray crystallography remains the most widely used technique for determining protein structures at atomic resolution, typically achieving resolutions better than 2 Å. In this method, proteins are crystallized, and an X-ray beam is directed at the crystal, producing a diffraction pattern from which electron density maps are reconstructed. The phase problem, which arises because diffraction experiments measure only intensities and not phases of the scattered waves, is commonly solved using multiple isomorphous replacement (MIR), where heavy atoms like mercury are introduced into isomorphous crystals to provide phase information via differences in diffraction patterns. The first complete three-dimensional structure of a protein, sperm whale myoglobin, was determined this way by John Kendrew and colleagues in 1960 at 2 Å resolution, revealing the protein's folded polypeptide chain and heme group for the first time. Nuclear magnetic resonance (NMR) spectroscopy determines protein structures in solution, capturing dynamic ensembles rather than static crystal forms, and is particularly suited for smaller proteins under 50 kDa. It relies on measuring nuclear spin interactions, such as through-space Nuclear Overhauser Effect (NOE) constraints between nearby atoms (typically <5 Å apart), along with dihedral angle restraints from coupling constants and chemical shifts, to computationally refine models that fit the spectral data. The first full protein structure by NMR, that of bovine pancreatic trypsin inhibitor (BPTI), was achieved by Kurt Wüthrich's group in 1985 at approximately 2.5 Å effective resolution, demonstrating the technique's ability to resolve backbone and side-chain conformations in aqueous environments.^[142] Cryogenic electron microscopy (cryo-EM) has revolutionized structure determination for large macromolecular complexes and membrane proteins that resist crystallization, using single-particle analysis to average thousands of two-dimensional projections into a three-dimensional density map without requiring crystals. Samples are flash-frozen in vitreous ice to preserve native states, imaged with electron beams, and computationally reconstructed; advances in direct electron detectors and phase plates since the 2010s have driven the "resolution revolution," routinely achieving ~2 Å resolutions by the 2020s for complexes over 100 kDa. For example, the structure of the ribosome, a massive assembly exceeding 2.5 MDa, was first resolved at 3.5 Å in 2000 and improved to near-atomic detail in subsequent studies, highlighting cryo-EM's power for dynamic assemblies.^[143]^[144] Hybrid methods integrate data from multiple techniques, such as low-resolution cryo-EM maps with high-resolution NMR or X-ray fragments, using computational modeling to resolve structures of complex systems that individual methods cannot fully address alone. These integrative approaches employ restraints from diverse sources—like distance constraints from NMR NOEs and shape envelopes from small-angle X-ray scattering (SAXS)—to generate ensemble models, as demonstrated in studies of the nuclear pore complex where cryo-EM provided overall architecture and NMR detailed flexible domains. Resolved structures are archived in the Protein Data Bank (PDB), a public repository established in 1971 that now holds over 200,000 entries, facilitating global research and validation. Early depositions included myoglobin (PDB ID: 1MBN, deposited 1989 but based on 1960 data) and hemoglobin, marking the foundation for structural biology. As of November 2025, the PDB holds over 260,000 entries.^[145]

Structure prediction and design

Protein structure prediction involves computational methods to determine the three-dimensional (3D) arrangement of atoms in a protein from its amino acid sequence, a challenge that has evolved from physics-based simulations to advanced machine learning approaches. Traditional techniques include homology modeling, which builds target protein structures by aligning sequences to known homologs in databases like the Protein Data Bank (PDB) and refining the model using energy minimization.^[146] Ab initio methods, such as those implemented in the Rosetta software, assemble protein structures from scratch using fragment-based assembly and Monte Carlo sampling to minimize an energy function derived from physical principles, achieving success for small proteins without close homologs. The field underwent a revolution with artificial intelligence (AI), particularly DeepMind's AlphaFold2, which in 2020 dominated the Critical Assessment of Structure Prediction (CASP14) competition by predicting structures with atomic accuracy for diverse proteins, even those lacking homologs, using deep learning on multiple sequence alignments and evolutionary data.^[147] This breakthrough earned the 2024 Nobel Prize in Chemistry for Demis Hassabis and John Jumper (for AlphaFold's development) and David Baker (for computational protein design).^[148] AlphaFold3, released in 2024, extends this capability to predict joint structures of protein complexes with ligands, DNA, and RNA, improving accuracy for biomolecular interactions by up to 50% over prior models in blind tests.^[149] Open-source alternatives like ESMFold, based on language models trained on evolutionary-scale sequence data, enable rapid single-sequence structure prediction without alignments, achieving near-AlphaFold accuracy for many targets in seconds on standard hardware.^[150] Similarly, RoseTTAFold from the Baker lab uses a three-track neural network (sequence, 1D distance map, 3D coordinates) for high-accuracy predictions and has facilitated experimental structure determination via X-ray crystallography and cryo-electron microscopy.^[151] These tools complement experimental methods by generating hypotheses for validation, accelerating research in structural biology. Protein design leverages these prediction advances to create novel structures with desired functions, starting with de novo approaches like Baker's 2003 design of Top7, the first artificial protein fold with no natural counterpart, achieved through Rosetta's computational optimization and confirmed by X-ray crystallography to match the intended topology with 1.2 Å RMSD.^[152] Recent AI-driven methods, such as RFdiffusion (2023), fine-tune RoseTTAFold into a diffusion model for generating diverse backbones conditioned on motifs or symmetries, enabling designs of binders, enzymes, and symmetric assemblies with experimental success rates over 20% for novel folds.^[153] Applications span drug discovery and biotechnology; AlphaFold predictions have identified novel drug targets by revealing cryptic pockets in disease-related proteins, such as SARS-CoV-2 enzymes, aiding inhibitor design.^[154] In enzyme engineering, tools like RFdiffusion redesign active sites for enhanced catalysis, as in creating luciferases with shifted emission spectra for bioimaging.^[153] Despite progress, challenges persist: AI models like AlphaFold struggle with protein dynamics, often outputting static snapshots that overlook conformational ensembles critical for function.^[155] Accuracy drops for intrinsically disordered regions (IDRs), which lack stable folds and comprise ~30% of eukaryotic proteomes, due to insufficient evolutionary signals in alignments.^[156] Membrane proteins, embedded in lipid bilayers, pose additional hurdles from incomplete environmental modeling, though post-2024 refinements in AlphaFold3 and specialized datasets have improved predictions for ~70% of targets.^[157] Looking ahead, AI-driven protein design is poised to transform therapeutics by 2025, with generative models enabling custom biologics like de novo antibodies and enzymes for personalized medicine, potentially reducing development timelines from years to months.^[158]

Proteomics and interactomics

Proteomics encompasses the large-scale study of the entire set of proteins, or proteome, within a cell, tissue, or organism, enabling the identification, quantification, and characterization of proteins in complex biological samples. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) serves as the cornerstone technique for bottom-up proteomics, where proteins are digested into peptides, separated by liquid chromatography, and analyzed by mass spectrometry to determine their mass-to-charge ratios and fragmentation patterns for identification and relative quantification. This approach has revolutionized protein profiling by allowing the detection of thousands of proteins simultaneously with high sensitivity and specificity, outperforming traditional antibody-based methods in throughput and coverage.^[159]^[160] A key application of proteomics involves the analysis of post-translational modifications (PTMs), such as phosphorylation, which regulate protein function, localization, and interactions. Phosphorylation sites are identified through LC-MS/MS by detecting characteristic mass shifts (e.g., +80 Da for phosphate addition) on peptides, often enriched using techniques like immobilized metal affinity chromatography to improve detection of low-abundance modified proteins. Mass spectrometry enables site-specific mapping and quantification of phosphorylation events across entire proteomes, revealing dynamic signaling networks in response to stimuli. For instance, phosphoproteomics has identified thousands of phosphorylation sites in mammalian cells, providing insights into kinase-substrate relationships.^[161]^[162] Quantitative proteomics methods enhance the ability to measure protein abundance changes across conditions. Stable isotope labeling by amino acids in cell culture (SILAC) incorporates heavy isotopes into proteins during cell growth, allowing direct comparison of samples by mass differences upon mixing and LC-MS/MS analysis, considered a gold standard for its accuracy in metabolic labeling. Isobaric tags for relative and absolute quantification (iTRAQ) enable multiplexing of up to eight samples by attaching tags that release reporter ions during fragmentation, facilitating precise relative quantification without altering peptide masses prior to analysis. These techniques have been pivotal in studying protein dynamics, such as in response to drug treatments or disease states.^[163]^[164] Interactomics focuses on mapping protein-protein interactions (PPIs) to understand functional networks. The yeast two-hybrid (Y2H) system detects binary interactions by reconstituting a transcription factor in yeast cells, where a bait protein fused to a DNA-binding domain interacts with a prey protein fused to an activation domain, driving reporter gene expression. Co-immunoprecipitation (co-IP) captures native complexes by using antibodies to pull down a target protein and its interactors from cell lysates, followed by identification via mass spectrometry. These methods contribute data to PPI networks, such as the STRING database, which integrates experimental, computational, and literature-derived interactions for over 12,000 organisms, scoring associations based on confidence levels to predict functional partnerships.^[165]^[166]^[167] In applications, proteomics identifies disease biomarkers by comparing proteomes from healthy and pathological samples, such as elevated levels of specific phosphoproteins in cancer signaling pathways, aiding early diagnosis and prognosis. In systems biology, quantitative proteomics and interactomics data integrate with other omics to model cellular processes, revealing how PPI networks respond to perturbations like infections. For example, LC-MS/MS-based profiling has uncovered biomarker panels for cardiovascular diseases and cancers, while STRING-facilitated networks illuminate pathway dysregulation in complex disorders.^[168]^[169]^[170] Recent advances in the 2020s include single-cell proteomics, where miniaturized LC-MS/MS platforms like nanoPOTS enable proteome analysis of individual cells, quantifying over 1,000 proteins per cell to uncover heterogeneity in tumors or immune responses. Spatial proteomics combines mass spectrometry with imaging to map protein distributions in tissues, as in Deep Visual Proteomics, which uses machine learning to segment and analyze laser-microdissected regions for proteotoxicity studies in diseases like alpha-1-antitrypsin deficiency. Additionally, AI integration post-2024 has improved PTM prediction; deep learning models like those using prompt-based fine-tuning on sequence data achieve high accuracy in forecasting phosphorylation sites by learning from large MS datasets, enhancing proteome annotation without exhaustive experimentation.^[171]^[172]

Mechanical and Physical Properties

Mechanical properties

Proteins exhibit a range of mechanical properties that enable them to withstand and respond to physical forces, including elasticity, strength, and ductility, which are crucial for their structural integrity under stress. These properties arise from the hierarchical organization of amino acid chains into secondary and tertiary structures, allowing proteins to deform reversibly or unfold under applied forces. Measurements of these properties often involve techniques that probe single molecules or bulk assemblies, providing insights into how proteins behave as biological materials.^[173] Atomic force microscopy (AFM) is a primary method for assessing single-molecule mechanical properties, such as force-induced elongation and unfolding, by applying tensile forces at the piconewton scale and measuring deformation with nanometer resolution. For larger assemblies like protein fibers, tensile testing evaluates bulk mechanical responses, including stress-strain behavior, by stretching samples until failure to determine parameters like Young's modulus and breaking strength. These techniques reveal how proteins balance rigidity and flexibility in response to mechanical loads.^[174]^[175] A key aspect of protein mechanics is viscoelasticity, where deformation is time-dependent, combining elastic recovery with viscous dissipation, as seen in the stress relaxation of protein networks under constant strain. Unfolding forces represent another critical type, where applied tension disrupts non-covalent interactions, leading to domain extension; for instance, immunoglobulin domains in the muscle protein titin unfold at forces of 100-200 pN, contributing to muscle elasticity during contraction. These behaviors highlight proteins' ability to absorb energy and prevent catastrophic failure.^[176]^[177] Mechanical properties are influenced by intramolecular interactions, including hydrogen bonds that provide reversible linkages for elasticity, disulfide cross-links that enhance tensile strength through covalent stabilization, and beta-sheets that confer rigidity via extended hydrogen-bonded networks. Disulfide bonds, in particular, lock protein conformations, increasing resistance to deformation, while beta-sheet motifs form stiff scaffolds in fibrous proteins. These factors allow proteins to tune their mechanical response based on environmental demands.^[178]^[38] Representative examples illustrate these properties: spider silk proteins, composed of beta-sheet nanocrystals embedded in amorphous regions, achieve a tensile strength of approximately 1 GPa, rivaling synthetic high-performance fibers due to sacrificial hydrogen bonds that dissipate energy. In contrast, collagen exhibits high extensibility, with single fibrils stretching up to 10-15% of their length before nonlinear stiffening, enabling tissues like tendons to endure repeated loading without fracture.^[179]^[180] These mechanical attributes underpin applications in biomaterials, where engineered protein hydrogels or fibers mimic natural toughness for scaffolds in tissue engineering, leveraging viscoelasticity for dynamic cell interactions. In biomolecular motors, such as kinesin, mechanical properties like stall forces around 5-7 pN enable directed transport along cytoskeletal filaments, inspiring nanoscale devices for drug delivery.^[181]^[182]

Biophysical characteristics

Proteins' biophysical characteristics encompass their thermodynamic stability, optical properties, and dynamic behaviors, which collectively determine how these macromolecules maintain structure and respond to environmental cues. The thermodynamic stability of a folded protein is primarily characterized by the Gibbs free energy change upon folding, \Delta G_{\text{fold}}, which balances enthalpic and entropic contributions to favor the native state under physiological conditions. Typically, \Delta G_{\text{fold}} ranges from -5 to -15 kcal/mol for stable proteins, reflecting a delicate equilibrium that can be disrupted by mutations or ligands.^[183] Heat capacity changes, \Delta C_p, during unfolding further influence stability, as proteins in the unfolded state absorb more heat due to exposed hydrophobic groups, leading to a parabolic dependence of \Delta G on temperature.^[184] Denaturation curves, obtained via differential scanning calorimetry (DSC), reveal the melting temperature T_m, the midpoint of thermal unfolding where half the protein is denatured. In DSC, excess heat capacity peaks at T_m, often between 40–80°C for globular proteins, providing a direct measure of unfolding enthalpy \Delta H and confirming two-state transitions in many cases.^[185] For instance, hyperthermophilic proteins exhibit higher T_m values, up to 100°C, due to enhanced \Delta G from optimized salt bridges and hydrophobic packing.^[186] Optical properties of proteins arise from their amino acid residues and enable non-invasive structural probing. Circular dichroism (CD) spectroscopy in the far-UV range (190–250 nm) assesses secondary structure by measuring differential absorption of left- and right-circularly polarized light, with characteristic spectra for \alpha-helices (strong negative bands at 208 and 222 nm) and \beta-sheets (negative at ~215 nm).^[187] This technique quantifies folding and ligand-induced changes, as helical content correlates with mean residue ellipticity at 222 nm. Intrinsic fluorescence from tryptophan residues, excited at ~280 nm, reports on local environment; quenching occurs via collisional or static mechanisms when polarity increases upon unfolding or binding, shifting emission from ~330 nm (buried) to ~350 nm (exposed).^[188] Protein dynamics involve conformational fluctuations on timescales from picoseconds to seconds, with microsecond (μs) to millisecond (ms) motions critical for function. Residence times for intermediate states often fall in the μs–ms range, probed by techniques like NMR relaxation dispersion, revealing hidden states that modulate stability and catalysis.^[189] Molecular dynamics (MD) simulations provide an overview of these dynamics by evolving atomic trajectories under force fields, capturing bond vibrations (fs–ps), side-chain rotations (ns–μs), and loop motions (μs–ms) in explicit solvent.^[190] A classic example of dynamic regulation is the allosteric Bohr effect in hemoglobin, where proton binding at μs–ms timescales stabilizes the tense (T) state, reducing oxygen affinity and promoting cooperative release via quaternary shifts between tense and relaxed (R) conformations.^[191] In contrast, intrinsically disordered proteins (IDPs) derive functional versatility from high conformational entropy, with unfolded ensembles spanning diverse dihedral angles that oppose folding but enable rapid binding; entropy losses upon disorder-to-order transitions can drive specificity in signaling.^[192] Recent advances in 2025 have illuminated membrane protein dynamics through atomic-level MD simulations, revealing how lipid solvation modulates allosteric networks and channel gating on μs–ms scales, as seen in Piezo1 mechanosensors where membrane tension induces cooperative subunit rearrangements.^[193]

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The purification of recombinant proteins by affinity chromatography is one of the most efficient strategies due to the high recovery yields and purity achieved.
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Homology modeling in the time of collective and artificial intelligence
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Highly accurate protein structure prediction with AlphaFold - Nature
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[PDF] Computational Protein Design and Protein Structure Prediction
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Accurate structure prediction of biomolecular interactions ... - Nature
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Evolutionary-scale prediction of atomic-level protein structure with a ...
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Accurate prediction of protein structures and interactions using a ...
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Design of a Novel Globular Protein Fold with Atomic-Level Accuracy
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De novo design of protein structure and function with RFdiffusion
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AlphaFold2 and its applications in the fields of biology and medicine
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protein dynamic conformations modeling in the post-AlphaFold era
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The power and pitfalls of AlphaFold2 for structure prediction beyond ...
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Artificial intelligence-based methods for protein structure prediction
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How AI Is Transforming De Novo Protein Design in Drug Development
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Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)
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Status of Large-scale Analysis of Post-translational Modifications by ...
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Characterization of Phosphorylated Proteins Using Mass Spectrometry
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Recent advances in quantitative and chemical proteomics for ...
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iTRAQ-Based and Label-Free Proteomics Approaches for Studies of ...
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Protein-Protein Interaction Detection: Methods and Analysis - NIH
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Mass spectrometry‐based protein–protein interaction networks ... - NIH
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Proteomics Discovery of Disease Biomarkers - PMC - NIH
Recent technological developments in proteomics have shown promising initiatives in identifying novel biomarkers of various diseases.
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Applications of targeted proteomics in systems biology and ...
Targeted proteomics can be used to validate biomarkers ... disease applications with many putative biomarkers such as cardiovascular disease and cancer.
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Proteomics and Systems Biology: Current and Future Applications in ...
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Deep Visual Proteomics maps proteotoxicity in a genetic liver disease
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Post-translational modification prediction via prompt-based fine ...
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The micro-mechanics of single molecules studied with atomic force ...
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A Look through the Perspective of Molecular Viscoelastic Properties
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Chemistry and Enzymology of Disulfide Cross-Linking in Proteins
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The elaborate structure of spider silk - NIH
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Mechanical Properties of Collagen Fibrils: Biophysical Journal
Determining the mechanical properties of single collagen fibrils (diameter 50–200nm) provides new insights into collagen structure. In this work, the reduced ...
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Bioinspired and biomimetic protein-based fibers and their applications
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Engineering Applications of Biomolecular Motors - Annual Reviews
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Mega-scale experimental analysis of protein folding stability ... - Nature
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Protein Stability Analysis of Heat and Cold Denaturation without ...
Apr 11, 2023 · Here we demonstrate a straightforward model-independent evaluation of heat capacity experiments in terms of protein unfolding enthalpy ΔH(T), entropy ΔS(T), ...
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Differential Scanning Calorimetry — A Method for Assessing the ...
Differential scanning calorimetry (DSC) is an analytical technique that measures the molar heat capacity of samples as a function of temperature.
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Thermodynamic stability and folding of proteins from ... - FEBS Press
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Using circular dichroism spectra to estimate protein secondary ... - NIH
Circular dichroism (CD) is an excellent method for rapidly evaluating the secondary structure, folding and binding properties of proteins. Briefly, circular ...
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Tryptophan Fluorescence Quenching Assays for Measuring Protein ...
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Connecting Protein Millisecond Conformational Dynamics to ... - NIH
Protein conformational fluctuations span a vast range of time scales, from picoseconds to minutes, with microsecond to millisecond (μs–ms) dynamics being ...Missing: residence | Show results with:residence
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Applications of Molecular Dynamics Simulation in Protein Study - NIH
MD Simulations has been used to study protein function, protein stability, protein–protein interaction, enzymatic reactions and drug–protein interactions, and ...
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Half a Century of Hemoglobin's Allostery - PMC - PubMed Central
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Conformational Entropy of Intrinsically Disordered Proteins ... - Nature
Jul 3, 2015 · This work quantitatively characterizes intrinsic disorder in proteins in terms of sequence composition and backbone conformational entropy.
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The lipid bilayer strengthens the cooperative network of membrane ...
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