Protein phylogenetic inference using maximum likelihood with a genetic algorithm.

H Matsuda

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PubMed · 9390255

Protein phylogenetic inference using maximum likelihood with a genetic algorithm.

H Matsuda

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Abstract

This paper presents a method to construct phylogenetic trees from amino acid sequences. Our method uses a maximum likelihood approach which gives a confidence score for each possible alternative tree. Based on this approach, we developed a genetic algorithm for exploring the best score tree: randomly generated alternative trees are rearranged so that their scores are improved by utilizing crossover and mutation operators. In a test of our algorithm on a data set of EF-1 alpha sequences, we found that the performance of our algorithm is comparable to that of other tree-construction methods.

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Algorithms Amino Acid Sequence Animals Computer Simulation Databases, Factual Evolution, Molecular Models, Genetic Peptide Elongation Factor 1 Peptide Elongation Factors Phylogeny Probability Proteins Software Journal Article Research Support, Non-U.S. Gov't

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H Matsuda. 1996. Protein phylogenetic inference using maximum likelihood with a genetic algorithm.. https://pubmed.ncbi.nlm.nih.gov/9390255/

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