Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1939955 | Biochemical and Biophysical Research Communications | 2006 | 10 Pages |
Abstract
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.
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Authors
J. Arunachalam, V. Kanagasabai, N. Gautham,