Literature DB >> 15595740

Phylomat: an automated protein motif analysis tool for phylogenomics.

W Vallen Graham1, David K Tcheng, Andrew L Shirk, Matias S Attene-Ramos, Michael E Welge, H Rex Gaskins.   

Abstract

Recent progress in genomics, proteomics, and bioinformatics enables unprecedented opportunities to examine the evolutionary history of molecular, cellular, and developmental pathways through phylogenomics. Accordingly, we have developed a motif analysis tool for phylogenomics (Phylomat, http://alg.ncsa.uiuc.edu/pmat) that scans predicted proteome sets for proteins containing highly conserved amino acid motifs or domains for in silico analysis of the evolutionary history of these motifs/domains. Phylomat enables the user to download results as full protein or extracted motif/domain sequences from each protein. Tables containing the percent distribution of a motif/domain in organisms normalized to proteome size are displayed. Phylomat can also align the set of full protein or extracted motif/domain sequences and predict a neighbor-joining tree from relative sequence similarity. Together, Phylomat serves as a user-friendly data-mining tool for the phylogenomic analysis of conserved sequence motifs/domains in annotated proteomes from the three domains of life.

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Year:  2004        PMID: 15595740     DOI: 10.1021/pr0499040

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  1 in total

1.  INTEGRATING COMPUTATIONAL PROTEIN FUNCTION PREDICTION INTO DRUG DISCOVERY INITIATIVES.

Authors:  Marianne A Grant
Journal:  Drug Dev Res       Date:  2011-02       Impact factor: 4.360

  1 in total

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