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• W2018300877 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)." @default.
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• W2018300877 date "2001-08-01" @default.
• W2018300877 modified "2023-10-13" @default.
• W2018300877 title "Secator: A Program for Inferring Protein Subfamilies from Phylogenetic Trees" @default.
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• W2018300877 doi "https://doi.org/10.1093/oxfordjournals.molbev.a003929" @default.
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