Protein structure prediction using mutually orthogonal Latin squares and a genetic algorithm
Autor: | N. Gautham, V. Kanagasabai, Jothi Arunachalam |
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Rok vydání: | 2006 |
Předmět: |
Protein Conformation
Crossover Biophysics Structure (category theory) Bioinformatics Pancreatic Polypeptide Biochemistry symbols.namesake Proto-Oncogene Proteins c-myb Protein sequencing Protein structure Peptide Library Predictive Value of Tests Genetic algorithm Animals Molecular Biology Mathematics Microfilament Proteins Tryptophan Computational Biology Cell Biology Graeco-Latin square Protein structure prediction Melitten Protein Structure Tertiary symbols Orthogonal array Algorithm Chickens Oligopeptides Algorithms |
Zdroj: | Biochemical and biophysical research communications. 342(2) |
ISSN: | 0006-291X |
Popis: | We combine a new, extremely fast technique to generate a library of low energy structures of an oligopeptide (by using mutually orthogonal Latin squares to sample its conformational space) with a genetic algorithm to predict protein structures. The protein sequence is divided into oligopeptides, and a structure library is generated for each. These libraries are used in a newly defined mutation operator that, together with variation, crossover, and diversity operators, is used in a modified genetic algorithm to make the prediction. Application to five small proteins has yielded near native structures. |
Databáze: | OpenAIRE |
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