Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2004-05-19
Biology
Quantitative Biology
Populations and Evolution
Paper presented at the Biological Language Conference November 20-21, 2003 University of Pittsburgh
Scientific paper
Evolutionary models measure the probability of amino acid substitutions occurring over different evolutionary distances. We examine various evolutionary models based on empirically derived amino acid substitution matrices. The models are constructed using the PAM and BLOSUM amino acid substitution matrices. We rescale these matrices by raising them to powers to model substitution patterns that account for different evolutionary distances. We also examine models that account for the dissimilarity of substitution rates along a protein sequence. We compare the models by computing the likelihood of each model across different alignments. We also present a specific example to illustrate the subtle differences in the estimation of evolutionary distance computed using the different models.
Barbiellini Bernardo
Chetoukhina Anna
Lu Chia-Hsin
Pellegrini Matteo
Portnova Alexandra
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