title: Investigation of atomic level patterns in protein--small ligand interactions.
abstract: BACKGROUND
  Shape complementarity and non-covalent interactions are believed to drive protein-ligand interaction. To date protein-protein, protein-DNA, and protein-RNA interactions were systematically investigated, which is in contrast to interactions with small ligands. We investigate the role of covalent and non-covalent bonds in protein-small ligand interactions using a comprehensive dataset of 2,320 complexes.
  
  
  RESULTS
  We show that protein-ligand interactions are governed by different forces for different ligand types, i.e., protein-organic compound interactions are governed by hydrogen bonds, van der Waals contacts, and covalent bonds; protein-metal ion interactions are dominated by electrostatic force and coordination bonds; protein-anion interactions are established with electrostatic force, hydrogen bonds, and van der Waals contacts; and protein-inorganic cluster interactions are driven by coordination bonds. We extracted several frequently occurring atomic-level patterns concerning these interactions. For instance, 73% of investigated covalent bonds were summarized with just three patterns in which bonds are formed between thiol of Cys and carbon or sulfur atoms of ligands, and nitrogen of Lys and carbon of ligands. Similar patterns were found for the coordination bonds. Hydrogen bonds occur in 67% of protein-organic compound complexes and 66% of them are formed between NH- group of protein residues and oxygen atom of ligands. We quantify relative abundance of specific interaction types and discuss their characteristic features. The extracted protein-organic compound patterns are shown to complement and improve a geometric approach for prediction of binding sites.
  
  
  CONCLUSIONS
  We show that for a given type (group) of ligands and type of the interaction force, majority of protein-ligand interactions are repetitive and could be summarized with several simple atomic-level patterns. We summarize and analyze 10 frequently occurring interaction patterns that cover 56% of all considered complexes and we show a practical application for the patterns that concerns interactions with organic compounds.
authors.affiliation: Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada.
authors.forename: Ke
authors.initials: K
authors.lastname: Chen
authors.forename: Lukasz
authors.initials: L
authors.lastname: Kurgan
mesh_terms: D000596:Amino Acids / Q000737:chemistry; D000818:Animals; D001665:Binding Sites; D004247:DNA / Q000737:chemistry*; D006860:Hydrogen Bonding; D007477:Ions / Q000737:chemistry; D008024:Ligands; D046911:Macromolecular Substances / Q000737:chemistry*; D008670:Metals / Q000737:chemistry; D008958:Models, Molecular; D015394:Molecular Structure; D011487:Protein Conformation; D025941:Protein Interaction Mapping; D011506:Proteins / Q000737:chemistry*; D012313:RNA / Q000737:chemistry*; D055672:Static Electricity; D013816:Thermodynamics
chemical_list: D000596:Amino Acids; D007477:Ions; D008024:Ligands; D046911:Macromolecular Substances; D008670:Metals; D011506:Proteins; D012313:RNA; D004247:DNA