Knowledge-based Prediction of Protein Tertiary Structure

  1. Richard A. Friesner
  1. Pierre-Jean L'Heureux1,2,3,
  2. Benoit Cromp1,2,3,
  3. Éric Martineau1,2,3,
  4. John R. Gunn2,3,4

Published Online: 13 MAR 2002

DOI: 10.1002/0471224421.ch5

Computational Methods for Protein Folding, Volume 120

Computational Methods for Protein Folding, Volume 120

How to Cite

L'Heureux, P.-J., Cromp, B., Martineau, É. and Gunn, J. R. (2002) Knowledge-based Prediction of Protein Tertiary Structure, in Computational Methods for Protein Folding, Volume 120 (ed R. A. Friesner), John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471224421.ch5

Editor Information

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

Author Information

  1. 1

    Département de Chimie, Université de Montréal, Montréal, Québec, Canada

  2. 2

    Centre de Recherche en Calcul Appliqué, Montréal, Québec, Canada

  3. 3

    Protein Engineering Network of Centers of Excellence, Edmonton, Alberta, Canada

  4. 4

    Schrödinger, Inc., New York, NY, 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. Prigogine6,7,
  2. Stuart A. Rice8

Series Editor Information

  1. 6

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

  2. 7

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

  3. 8

    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:

  • protein tertiary structure;
  • protein modeling;
  • constraint methods;
  • search space;
  • homology;
  • structure templates

Summary

Much work has been devoted to making use of prior information and accumulated knowledge in the generation of computer models of proteins. This review describes some of the ways in which such methods are being incorporated within the traditional ab initio framework.