Protein docking using a genetic algorithm.
A genetic algorithm (GA) for protein-protein docking is described, in which the proteins are represented by dot surfaces calculated using the Connolly program. The GA is used to move the surface of one protein relative to the other to locate the area of greatest surface complementarity between the two. Surface dots are deemed complementary if their normals are opposed, their Connolly shape type is complementary, and their hydrogen bonding or hydrophobic potential is fulfilled. Overlap of the protein interiors is penalized. The GA is tested on 34 large protein-protein complexes where one or both proteins has been crystallized separately. Parameters are established for which 30 of the complexes have at least one near-native solution ranked in the top 100. We have also successfully reassembled a 1,400-residue heptamer based on the top-ranking GA solution obtained when docking two bound subunits.
Gardiner
E J
EJ
Department of Information Studies and Department of Molecular Biology and Biotechnology, Krebs Institute, Sheffield University, Sheffield, United Kingdom. e.gardiner@sheffield.ac.uk
Willett
P
P
Artymiuk
P J
PJ
D000465:Algorithms; D000936:Antigen-Antibody Complex / Q000737:chemistry* / Q000276:immunology; D004791:Enzyme Inhibitors / Q000737:chemistry* / Q000378:metabolism; D004798:Enzymes / Q000737:chemistry* / Q000378:metabolism; D046911:Macromolecular Substances; D008565:Membrane Proteins / Q000737:chemistry; D008958:Models, Molecular; D021122:Protein Subunits; D013499:Surface Properties
D000936:Antigen-Antibody Complex; D004791:Enzyme Inhibitors; D004798:Enzymes; D046911:Macromolecular Substances; D008565:Membrane Proteins; D021122:Protein Subunits