title: Monte Carlo docking of oligopeptides to proteins.
abstract: A new two-step procedure has been developed for the docking of flexible oligopeptide chains of unknown conformation to static proteins of known structure. In the first step positions and conformations are sampled and the association energy minimized starting from an approximate preselected docking position. The resulting conformations are further optimized in the second step by a Metropolis Monte Carlo minimization, which optimizes each of these structures. The method has been tested on the HIV-1 aspartic proteinase complex with an inhibitor, whose crystallographic structure is known at 2.3 A resolution. Furthermore, the application of this method to the docking of the hendecapeptide 58-68 of the influenza A virus matrix protein to the HLA-A2 molecule produced results which are in agreement with experimental observations in identifying side chains critical for T cell recognition and residues responsible of MHC protein binding.
authors.affiliation: Institute of Biomedical Engineering and Medical Informatics, University of Zürich, Switzerland.
authors.forename: A
authors.initials: A
authors.lastname: Caflisch
authors.forename: P
authors.initials: P
authors.lastname: Niederer
authors.forename: M
authors.initials: M
authors.lastname: Anliker
mesh_terms: D000465:Algorithms; D017320:HIV Protease Inhibitors; D009010:Monte Carlo Method; D009842:Oligopeptides / Q000737:chemistry*; D011485:Protein Binding; D011487:Protein Conformation
chemical_list: D017320:HIV Protease Inhibitors; D009842:Oligopeptides