Modeling residue usage in aligned protein sequences via maximum likelihood
A computational method is presented for characterizing residue usage, i.e., site-specific residue frequencies, in aligned protein sequences. The method obtains frequency estimates that maximize the likelihood of the sequences in a simple model for sequence evolution, given a tree or a set of candida...
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Veröffentlicht in: | Molecular biology and evolution 1996-12, Vol.13 (10), p.1368-1374 |
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container_title | Molecular biology and evolution |
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creator | Bruno, W J |
description | A computational method is presented for characterizing residue usage, i.e., site-specific residue frequencies, in aligned protein sequences. The method obtains frequency estimates that maximize the likelihood of the sequences in a simple model for sequence evolution, given a tree or a set of candidate trees computed by other methods. These maximum-likelihood frequencies constitute a profile of the sequences, and thus the method offers a rigorous alternative to sequence weighting for constructing such a profile. The ability of this method to discard misleading phylogenetic effects allows the biochemical propensities of different positions in a sequence to be more clearly observed and interpreted. |
doi_str_mv | 10.1093/oxfordjournals.molbev.a025583 |
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subjects | Amino Acids - genetics Computer Simulation Likelihood Functions Phylogeny Sequence Alignment - methods |
title | Modeling residue usage in aligned protein sequences via maximum likelihood |
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