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

Journal of Computational Chemistry

Volumn 27, Issue 11, 2006, Pages 1177-1195

  Djurdjevic, Dusan P ^a   Biggs, Mark J ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Biomaterials; Biosensors; Genetic algorithm (GA); Interfaces; Met enkephalin; Polyalanine; Protein fold; Protein tertiary structure; Stochastic optimization

Indexed keywords

BIOMATERIALS; BIOSENSORS; EVOLUTIONARY ALGORITHMS; FREE ENERGY; GENETIC ALGORITHMS; INTERFACES (COMPUTER); MATHEMATICAL MODELS; PHYSICAL CHEMISTRY;

MET-ENKEPHALIN; POLYALANINE; PROTEIN FOLD; PROTEIN TERTIARY STRUCTURE; STOCHASTIC OPTIMIZATION;

PROTEINS;

METENKEPHALIN; PEPTIDE; POLYALANINE;

ALGORITHM; ARTICLE; CHEMICAL STRUCTURE; CHEMISTRY; CHROMOSOME; COMPUTER SIMULATION; GENETICS; METABOLISM; MOLECULAR EVOLUTION; MUTATION; PROBABILITY; PROTEIN FOLDING; PROTEIN TERTIARY STRUCTURE;

ALGORITHMS; CHROMOSOMES; COMPUTER SIMULATION; ENKEPHALIN, METHIONINE; EVOLUTION, MOLECULAR; MODELS, MOLECULAR; MUTATION; PEPTIDES; PROBABILITY; PROTEIN FOLDING; PROTEIN STRUCTURE, TERTIARY;

EID: 33745882650     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.20440     Document Type: Article

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