Optimization of Parameters in Macromolecular Potential Energy Functions by Conformational Space Annealing
Author(s) -
Jooyoung Lee,
Daniel R. Ripoll,
Cezary Czaplewski,
Jarosław Pillardy,
William J. Wedemeyer,
Harold A. Scheraga
Publication year - 2001
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/jp011102u
Subject(s) - macromolecule , simulated annealing , protocol (science) , force field (fiction) , statistical physics , computer science , benchmark (surveying) , biological system , physics , computational chemistry , chemistry , algorithm , biology , artificial intelligence , biochemistry , medicine , alternative medicine , geodesy , pathology , geography
A general protocol for refining the parameters of macromolecular potential energy functions by optimizing criteria that compare nativelike and nonnative conformations of one or more benchmark protein(s) is described. The protocol exploits the high efficiency of conformational space annealing (CSA) in finding the lowest-energy conformation of an isolated macromolecule. A novel form of the CSA method, local CSA, is introduced to provide better sampling of nativelike conformations. The computational expense of the protocol is reduced significantly by a linear approximation that estimates the energy of the (reminimized) native and nonnative conformations after every change of the force field parameters. The protocol is illustrated by optimizing the parameters of two force fields used in the CASP3 and CASP4 experiments, respectively. Another version of this general protocol (with different optimization criteria and optimization methods) was used to determine the parameters for the α, β and α/β force fields use...
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