Force Field Validation Using Protein Side Chain Prediction
Author(s) -
Matthew P. Jacobson,
George A. Kaminski,
Richard A. Friesner,
Chaya S. Rapp
Publication year - 2002
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/jp021564n
Subject(s) - force field (fiction) , solvation , side chain , decoy , protein structure prediction , implicit solvation , energy minimization , computer science , representation (politics) , field (mathematics) , chemistry , algorithm , computational chemistry , biological system , protein structure , molecule , mathematics , artificial intelligence , biochemistry , receptor , organic chemistry , politics , political science , pure mathematics , law , biology , polymer
The prediction of protein side chain conformations is used to evaluate the accuracy of force field parameters. Specifically, new torsional parameters have recently been reported for the OPLS-AA force field, which achieved substantially better accuracy with respect to high level gas-phase quantum chemical calculations [J. Phys. Chem. B 2001, 105, 6474]. Here we demonstrate that these new parameters also lead to qualitatively improved side chain prediction accuracy. The primary emphasis is on the prediction of single side chain conformations, with the rest of the protein held fixed at the native configuration. Errors due to incomplete sampling can thus be essentially eliminated, using a combination of rotamer search and energy minimization. In addition, the protein environment is modeled realistically using implicit solvation and an explicit representation of crystal packing effects. Aided by the development of new algorithms, these calculations have been performed with modest computational requirements (a ...
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