Incorporating intermolecular distance into protein-protein docking.
In this work, intermolecular distance was integrated into the docking of protein-protein complexes. To develop an efficient docking procedure, 22 enzyme-inhibitor targets and 15 antibody-antigen targets were taken from a benchmark set. A three-step approach was adopted, which included global sampling by FTDOCK, filtering by intermolecular distance and ranking by a composite scoring function. For the enzyme-inhibitor targets, the composite scoring function consists of geometry and energy terms. In the set composed of the approximately 100 highest ranked candidates for each target, correct complexes were identified for all of the 22 enzyme-inhibitor targets. This docking strategy also succeeded on the four test targets, of which three are CAPRI targets with the same receptor but different binding modes. Interestingly, all three binding modes were correctly predicted. For the antibody-antigen targets, CDR and physical energy were also used in the filtering process and informatics terms were added to the scoring function. The composite score had successful prediction for 13 of the 15 antibody-antigen targets.
Lei
Hongxing
H
UC Davis Genome Center and Bioinformatics Program, Department of Applied Science, University of California, One Shields Avenue, Davis, CA 95616, USA.
Duan
Yong
Y
D000465:Algorithms; D000818:Animals; D000937:Antigen-Antibody Reactions; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D004791:Enzyme Inhibitors / Q000494:pharmacology; D004798:Enzymes / Q000737:chemistry; D006801:Humans; D008024:Ligands; D008958:Models, Molecular; D008962:Models, Theoretical; D011485:Protein Binding; D011487:Protein Conformation; D015202:Protein Engineering / Q000379:methods*; D017510:Protein Folding; D025941:Protein Interaction Mapping; D011506:Proteins / Q000737:chemistry*; D012984:Software; D013997:Time Factors
D004791:Enzyme Inhibitors; D004798:Enzymes; D008024:Ligands; D011506:Proteins