Ab Initio Protein Structure Prediction Using a Size-dependent Tertiary Folding Potential

  1. Richard A. Friesner
  1. Volker A. Eyrich1,
  2. Richard A. Friesner1,
  3. Daron M. Standley2

Published Online: 13 MAR 2002

DOI: 10.1002/0471224421.ch6

Computational Methods for Protein Folding, Volume 120

Computational Methods for Protein Folding, Volume 120

How to Cite

Eyrich, V. A., Friesner, R. A. and Standley, D. M. (2002) Ab Initio Protein Structure Prediction Using a Size-dependent Tertiary Folding Potential, in Computational Methods for Protein Folding, Volume 120 (ed R. A. Friesner), John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471224421.ch6

Editor Information

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

Author Information

  1. 1

    Department of Chemistry and Center for Biomolecular Simulation, Columbia University, New York, NY, U.S.A.

  2. 2

    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. Prigogine4,5,
  2. Stuart A. Rice6

Series Editor Information

  1. 4

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

  2. 5

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

  3. 6

    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:

  • size-dependent potential energy function;
  • tertiary folding;
  • PDB-derived structures;
  • ideal secondary structures;
  • predicted secondary structure elements

Summary

The chapter is organized as follows. Section II describes the new potential function, discussing its novel qualitative features and presenting an algorithm for optimization of parameters using a large training set derived from the Protein Data Bank (PDB). Section III briefly reviews the computational methodology used to carry out the tertiary folding simulations and then presents simulation results using native secondary structure and ideal secondary structure. As a test set in this section, the authors employ a subset of the proteins studied previously so that comparisons can be made with the results reported in that publication, and improvements in the potential functions quantified. In Section IV, the authors utilize predicted secondary structure lengths and positions and ideal secondary structure elements to carry out ab initio prediction experiments; they focus in this chapter on helical proteins, and include, in addition to proteins from the test set of Section IV, two targets from CASP3.