STRUCTURE PREDICTION OF SUBTILISIN BPN' MUTANTS USING MOLECULAR-DYNAMICS METHODS

Citation
Ap. Heiner et al., STRUCTURE PREDICTION OF SUBTILISIN BPN' MUTANTS USING MOLECULAR-DYNAMICS METHODS, Protein engineering, 6(4), 1993, pp. 397-408
Citations number
50
Categorie Soggetti
Biology
Journal title
ISSN journal
02692139
Volume
6
Issue
4
Year of publication
1993
Pages
397 - 408
Database
ISI
SICI code
0269-2139(1993)6:4<397:SPOSBM>2.0.ZU;2-X
Abstract
In this paper we describe the achievements and pitfalls encountered in doing structure predictions of protein mutants using molecular dynami cs simulation techniques in which properties of atoms are slowly chang ed as a function of time. Basically the method consists of a thermodyn amic integration (slow growth) calculation used for free energy determ ination, but aimed at structure prediction; this allows for a fast det ermination of the mutant structure. We compared the calculated structu re of the mutants Met222Ala, Met222Phe and Met222Gln of subtilisin BPN ' with the respective X-ray structures and found good agreement betwee n predicted and X-ray structure. The conformation of the residue subje ct to the mutation is relatively easy to predict and is mainly determi ned by packing criteria. When the side chain has polar groups its exac t orientation may pose problems; long-range Coulomb interactions may g enerate a polarization feedback involving system relaxation times beyo nd the simulation time. Changes induced in the environment are harder to predict using this method. In particular, rearrangement of the hydr ation structure was difficult to predict correctly, probably because o f the long relaxation times. In all conversions made the changes obser ved in the environment were found to be history-dependent and in parti cular the hydrogen bonding patterns provided evidence for metastable s ubstates. In all cases the structure predicted was compared with avail able kinetic data and the reduced activity could be explained in terms of changes in the configuration of the active site.