Ab initio protein fold prediction using evolutionary algorithms: Influence of design and control parameters on performance

True ab initio prediction of protein 3D structure requires only the protein primary structure, a physicochemical free energy model, and a search method for identifying the free energy global minimum. Various characteristics of evolutionary algorithms (EAs) mean they are in principle well suited to t...

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Veröffentlicht in:	Journal of computational chemistry Jg. 27; H. 11; S. 1177 - 1195
Hauptverfasser:	Djurdjevic, Dusan P., Biggs, Mark J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.08.2006 Wiley Subscription Services, Inc
Schlagworte:	Algorithms biomaterials biosensors Chromosomes - genetics Computer Simulation Enkephalin, Methionine - chemistry Enkephalin, Methionine - genetics Enkephalin, Methionine - metabolism Evolution, Molecular genetic algorithm (GA) Genetic algorithms interfaces met-enkephalin Models, Molecular Molecular structure Mutation - genetics Parameter optimization Peptides - chemistry Peptides - genetics Peptides - metabolism polyalanine Probability protein fold Protein Folding Protein Structure, Tertiary protein tertiary structure stochastic optimization Studies
ISSN:	0192-8651, 1096-987X
Online-Zugang:	Volltext
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