Detecting Native Protein Folds among Large Decoy Sets with the OPLS All-Atom Potential and the Surface Generalized Born Solvent Model

  1. Richard A. Friesner
  1. Anders Wallqvist,
  2. Emilio Gallicchio,
  3. Anthony K. Felts,
  4. Ronald M. Levy

Published Online: 13 MAR 2002

DOI: 10.1002/0471224421.ch8

Computational Methods for Protein Folding, Volume 120

Computational Methods for Protein Folding, Volume 120

How to Cite

Wallqvist, A., Gallicchio, E., Felts, A. K. and Levy, R. M. (2002) Detecting Native Protein Folds among Large Decoy Sets with the OPLS All-Atom Potential and the Surface Generalized Born Solvent Model, in Computational Methods for Protein Folding, Volume 120 (ed R. A. Friesner), John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471224421.ch8

Editor Information

  1. Columbia University, New York, New York, USA

Author Information

  1. Department of Chemistry, Rutgers University, Wright-Rieman Laboratories, Piscataway, NJ, U.S.A.

Publication History

  1. Published Online: 13 MAR 2002
  2. Published Print: 4 JAN 2002

Book Series:

  1. Advances in Chemical Physics

Book Series Editors:

  1. I. Prigogine3,4,
  2. Stuart A. Rice5

Series Editor Information

  1. 3

    Center for Studies in Statistical Mechanics and Complex Systems, The University of Texas, Austin, Texas, USA

  2. 4

    International Solvay Institutes, Université Libre de Bruxelles, Brussels, Belgium

  3. 5

    Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, Illinois, USA

ISBN Information

Print ISBN: 9780471209553

Online ISBN: 9780471224426

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Keywords:

  • native protein folds;
  • decoy sets;
  • OPLS all-atom potential;
  • Born solvent model

Summary

In this work the authors show that the all atom (OPLS-AA) force field for proteins together with a surface integral formulation of the generalized Born model (SGB) is capable of discriminating between native and non-native folds among large sets of compact decoy structures. Validation of the scoring protocol is performed on a large database of well-packed misfolded and near-native protein conformations generated by an algorithm designed to cover exhaustively the relevant parts of conformational space. Two additional decoy data sets of misfolded proteins and of predicted protein structures from the Critical Assessment of Techniques for Protein Structure Prediction (CASP) are also used to illustrate the method and its utility. It is also shown that some aspects of the SGB model results can be mimicked by a screened electrostatic energy, although the SGB approximation provides a better discriminatory measure between non-native and native states.