| Autor: |
Avino M; Department of Pathology and Laboratory Medicine, Western University, London, Canada. mavino@uwo.ca., Poon AFY; Department of Pathology and Laboratory Medicine, Western University, London, Canada. |
| Jazyk: |
angličtina |
| Zdroj: |
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2019; Vol. 1851, pp. 105-122. |
| DOI: |
10.1007/978-1-4939-8736-8_6 |
| Abstrakt: |
The comparative study of homologous proteins can provide abundant information about the functional and structural constraints on protein evolution. For example, an amino acid substitution that is deleterious may become permissive in the presence of another substitution at a second site of the protein. A popular approach for detecting coevolving residues is by looking for correlated substitution events on branches of the molecular phylogeny relating the protein-coding sequences. Here we describe a machine learning method (Bayesian graphical models) implemented in the open-source phylogenetic software package HyPhy, http://hyphy.org , for extracting a network of coevolving residues from a sequence alignment. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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