title: Discrete structural features among interface residue-level classes.
abstract: BACKGROUND
  Protein-protein interaction (PPI) is essential for molecular functions in biological cells. Investigation on protein interfaces of known complexes is an important step towards deciphering the driving forces of PPIs. Each PPI complex is specific, sensitive and selective to binding. Therefore, we have estimated the relative difference in percentage of polar residues between surface and the interface for each complex in a non-redundant heterodimer dataset of 278 complexes to understand the predominant forces driving binding.
  
  
  RESULTS
  Our analysis showed ~60% of protein complexes with surface polarity greater than interface polarity (designated as class A). However, a considerable number of complexes (~40%) have interface polarity greater than surface polarity, (designated as class B), with a significantly different p-value of 1.66E-45 from class A. Comprehensive analyses of protein complexes show that interface features such as interface area, interface polarity abundance, solvation free energy gain upon interface formation, binding energy and the percentage of interface charged residue abundance distinguish among class A and class B complexes, while electrostatic visualization maps also help differentiate interface classes among complexes.
  
  
  CONCLUSIONS
  Class A complexes are classical with abundant non-polar interactions at the interface; however class B complexes have abundant polar interactions at the interface, similar to protein surface characteristics. Five physicochemical interface features analyzed from the protein heterodimer dataset are discriminatory among the interface residue-level classes. These novel observations find application in developing residue-level models for protein-protein binding prediction, protein-protein docking studies and interface inhibitor design as drugs.
authors.forename: Gopichandran
authors.initials: G
authors.lastname: Sowmya
authors.forename: Shoba
authors.initials: S
authors.lastname: Ranganathan
mesh_terms: D030562:Databases, Protein; D019281:Dimerization; D006860:Hydrogen Bonding; D020407:Internet; D060066:Protein Interaction Maps; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry* / Q000145:classification / Q000378:metabolism; D055672:Static Electricity; D014584:User-Computer Interface
chemical_list: D011506:Proteins