title: Modeling side-chain conformation for homologous proteins using an energy-based rotamer search.
abstract: We have developed a computational method for accurately predicting the conformation of side-chain atoms when building a protein structure from a known homologous structure. A library of rotamers is used to model the side-chains, allowing an average of five to six different conformations per residue. Local sites of adjacent side-chains are defined throughout the protein, and all combinations of side-chain rotamers are evaluated within each site using a molecular mechanics force field enhanced by the inclusion of a solvation term. At each site, the lowest energy combination of side-chains is identified and added onto the fixed protein backbone. A series of test cases using the refined X-ray structure of alpha-lytic protease has shown that: (1) the force field can correctly predict up to 90% of side-chain rotamers; (2) the assumption of side-chain rotamer geometry is usually a very good approximation; and (3) the complete combinatorial conformation search is able overcome local minima and identify the lowest energy rotamer set for the protein in the absence of a starting bias to the correct structure. Tests with several pairs of homologous proteins have shown that the algorithm is quite successful at predicting side-chain conformation even when the protein backbone used to generate side-chain positions deviates from the correct conformation. The root-mean-square (r.m.s.) deviation of predicted side-chain atoms rises from 1.31 A (average r.m.s.d. 0.73 A) in a test case with the correct backbone to only 2.68 A (1.95 A average r.m.s.d.) in a test case with < 35% homology. The high accuracy of this method suggests that it may be a useful automated tool for modeling protein structure.
authors.affiliation: Howard Hughes Medical Institute, Graduate Group in Biophysics, University of California, San Francisco 94143-0448.
authors.forename: C
authors.initials: C
authors.lastname: Wilson
authors.forename: L M
authors.initials: LM
authors.lastname: Gregoret
authors.forename: D A
authors.initials: DA
authors.lastname: Agard
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D010450:Endopeptidases / Q000737:chemistry; D005069:Evaluation Studies as Topic; D008958:Models, Molecular; D011487:Protein Conformation; D012697:Serine Endopeptidases / Q000737:chemistry; D014961:X-Ray Diffraction
chemical_list: D010450:Endopeptidases; D012697:Serine Endopeptidases; C021826:myxobacter alpha-lytic proteinase