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Journal Articles Molecular Biology and Evolution Year : 2001

Secator: a program for inferring protein subfamilies from phylogenetic trees

Abstract

With the huge increase of protein data, an important problem is to estimate, within a large protein family, the number of sensible subsets for subsequent in-depth structural, functional, and evolutionary analyses. To tackle this problem, we developed a new program, Secator, which implements the principle of an ascending hierarchical method using a distance matrix based on a multiple alignment of protein sequences. Dissimilarity values assigned to the nodes of a deduced phylogenetic tree are partitioned by a new stopping rule introduced to automatically determine the significant dissimilarity values. The quality of the clusters obtained by Secator is verified by a separate Jackknife study. The method is demonstrated on 24 large protein families covering a wide spectrum of structural and sequence conservation and its usefulness and accuracy with real biological data is illustrated on two well-studied protein families (the Sm proteins and the nuclear receptors).

Domains

Genetics

Dates and versions

hal-04118010 , version 1 (05-06-2023)

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Nicolas Wicker, Guy René Perrin, Jean Claude Thierry, Olivier Poch. Secator: a program for inferring protein subfamilies from phylogenetic trees. Molecular Biology and Evolution, 2001, 18 (8), pp.1435-1441. ⟨10.1093/oxfordjournals.molbev.a003929⟩. ⟨hal-04118010⟩
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