Graham W Vallen, Tcheng David K, Shirk Andrew L, Attene-Ramos Matias S, Welge Michael E, Gaskins H Rex
University of Illinois, National Center for Supercomputing Applications, University of Illinois, Urbana, IL 61801, USA.
J Proteome Res. 2004 Nov-Dec;3(6):1289-91. doi: 10.1021/pr0499040.
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.
基因组学、蛋白质组学和生物信息学领域的最新进展为通过系统发育基因组学研究分子、细胞和发育途径的进化历史带来了前所未有的机遇。因此,我们开发了一种用于系统发育基因组学的基序分析工具(Phylomat,http://alg.ncsa.uiuc.edu/pmat),该工具可扫描预测的蛋白质组集,寻找包含高度保守氨基酸基序或结构域的蛋白质,以便对这些基序/结构域的进化历史进行计算机分析。Phylomat允许用户下载完整蛋白质或从每个蛋白质中提取的基序/结构域序列的结果。显示了包含基序/结构域在生物体中的百分比分布(按蛋白质组大小进行归一化)的表格。Phylomat还可以比对完整蛋白质或提取的基序/结构域序列集,并根据相对序列相似性预测邻接树。总之,Phylomat是一种用户友好的数据挖掘工具,用于对来自生命三个域的注释蛋白质组中的保守序列基序/结构域进行系统发育基因组分析。