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Parameterizing genetic algorithms for protein folding simulation

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2 Author(s)
S. Schulze-Kremer ; Brainware GmbH, Berlin, Germany ; U. Tiedemann

A genetic algorithm is used to search energetically and structurally favorable conformations. The authors use a hybrid protein representation, three operators to manipulate the protein "genes" and a fitness function based on a simple force field. The prototype was applied to the ab initio prediction of Crambin. None of the conformations generated with a non-biased fitness function are similar to the native conformation but all of them show a much better overall fitness than the native structure. If guided by r.m.s. deviation the native conformation was reproduced at 1.3 /spl Aring/. Therefore, the genetic algorithm's search was successful but the fitness function was no good indicator for native structure. In a side chain placement experiment Crambin was reproduced at 1.86 /spl Aring/ r.m.s. deviation.<>

Published in:

System Sciences, 1994. Proceedings of the Twenty-Seventh Hawaii International Conference on  (Volume:5 )

Date of Conference:

4-7 Jan. 1994