Network Analysis of Protein Structures Identifies Functional Residues

• Published in: Journal of molecular biology Vol. 344; no. 4; pp. 1135 - 1146
• Main Authors: Amitai, Gil, Shemesh, Arye, Sitbon, Einat, Shklar, Maxim, Netanely, Dvir, Venger, Ilya, Pietrokovski, Shmuel
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 03.12.2004
• Subjects: Allosteric Site; Amino Acids - chemistry; Amino Acids - metabolism; Binding Sites; closeness degree; Computational Biology; Databases, Factual; Enzyme Activation; Mitogen-Activated Protein Kinases - metabolism; Models, Molecular; Models, Theoretical; network analysis; ORFans; protein active sites identification; protein structure analysis; Protein Structure, Tertiary; Proteins - chemistry; Proteins - metabolism; ORFans; RSA; protein structure analysis; protein active sites identification; RIGs; closeness degree; network analysis; MCC
• ISSN: 0022-2836; 1089-8638
• DOI: 10.1016/j.jmb.2004.10.055

Identifying active site residues strictly from protein three-dimensional structure is a difficult task, especially for proteins that have few or no homologues. We transformed protein structures into residue interaction graphs (RIGs), where amino acid residues are graph nodes and their interactions with each other are the graph edges. We found that active site, ligand-binding and evolutionary conserved residues, typically have high closeness values. Residues with high closeness values interact directly or by a few intermediates with all other residues of the protein. Combining closeness and surface accessibility identified active site residues in 70% of 178 representative structures. Detailed structural analysis of specific enzymes also located other types of functional residues. These include the substrate binding sites of acetylcholinesterases and subtilisin, and the regions whose structural changes activate MAP kinase and glycogen phosphorylase. Our approach uses single protein structures, and does not rely on sequence conservation, comparison to other similar structures or any prior knowledge. Residue closeness is distinct from various sequence and structure measures and can thus complement them in identifying key protein residues. Closeness integrates the effect of the entire protein on single residues. Such natural structural design may be evolutionary maintained to preserve interaction redundancy and contribute to optimal setting of functional sites.