Network analysis of protein structures identifies functional residues

Gil Amitai, Arye Shemesh, Einat Sitbon, Maxim Shklar, Dvir Netanely, Ilya Venger, Shmuel Pietrokovski

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1135-1146
Number of pages12
JournalJournal of Molecular Biology
Volume344
Issue number4
DOIs
StatePublished - 3 Dec 2004
Externally publishedYes

Keywords

  • ORFans
  • closeness degree
  • network analysis
  • protein active sites identification
  • protein structure analysis

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