Comparing three stochastic search algorithms for computational protein design: Monte Carlo, replica exchange Monte Carlo, and a multistart, steepest-descent heuristic-Reference-Cited by-同舟云学术

Comparing three stochastic search algorithms for computational protein design: Monte Carlo, replica exchange Monte Carlo, and a multistart, steepest-descent heuristic

Published:2016-05-20 Issue:19 Volume:37 Page:1781-1793
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J. Comput. Chem.

Author:

Mignon David¹,Simonson Thomas¹

Affiliation:

1. Laboratoire De Biochimie (UMR CNRS 7654), Department Of Biology, Ecole Polytechnique; Palaiseau France

Funder

French Agence Nationale pour la Recherche (ProtiCAD project)

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Reference71 articles.

1. A Large Scale Test of Computational Protein Design: Folding and Stability of Nine Completely Redesigned Globular Proteins

2. COMPUTER-BASED DESIGN OF NOVEL PROTEIN STRUCTURES

3. Progress in computational protein design

4. Computational protein design: engineering molecular diversity, nonnatural enzymes, nonbiological cofactor complexes, and membrane proteins

5. Computational protein design of ligand binding and catalysis

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