Alignment of Multiple Sequences of Amino Acids, using Genetic Algorithms

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Luis Felipe Solanilla Carlos Arturo Gómez Teshima Luis Eduardo Múnera S.

Abstract

This article describes a genetic algorithm and its implementation that it allows the alignment of multiple sequences of amino acids by means of locations that simulate the gaps insertion (holes) and actions of recombination to obtain higher scores in the alignment. Such scores are obtained by means of the method of the sum of even, in which there are considered all the possible combinations of amino acids in each column of the alignment and they are qualified being based on the punctuations of the matrix BLOSUM62.

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Author Biographies

Luis Felipe Solanilla, Universidad Icesi, Cali

Bio Statement available in Spanish

Carlos Arturo Gómez Teshima, Universidad Icesi, Cali

Not available

Luis Eduardo Múnera S., Universidad Icesi, Cali

Bio Statement available in Spanish