Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach

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Item Type:	Conference or Workshop Item
Title:	Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach
Creators Name:	Harrington, K.
Abstract:	Evolutionary computation has been used many times for protein function prediction. In this paper a new approach is taken by constraining the problem to predicting the products of enzyme catalysis. Genetic programming with the Push programming language is used to evolve predictors within multiple search spaces. Predictors are evolved within multiple search spaces to reduce the complexity of solutions and represent sequence analysis, protein domain recognition,protein folding, and informatic approaches.
Keywords:	GP(2), Push, PushGP
Source:	Proceedings of the Conference on Genetic and Evolutionary Computation
Title of Book:	GECCO '07: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation
ISBN:	978-1-59593-698-1
Publisher:	Association for Computing Machinery
Page Range:	2725–2728
Date:	July 2007
Official Publication:	https://doi.org/10.1145/1274000.1274094

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