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Extracting protein alignment models from the sequence database.

机译:从序列数据库中提取蛋白质比对模型。

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摘要

Biologists often gain structural and functional insights into a protein sequence by constructing a multiple alignment model of the family. Here a program called Probe fully automates this process of model construction starting from a single sequence. Central to this program is a powerful new method to locate and align only those, often subtly, conserved patterns essential to the family as a whole. When applied to randomly chosen proteins, Probe found on average about four times as many relationships as a pairwise search and yielded many new discoveries. These include: an obscure subfamily of globins in the roundworm Caenorhabditis elegans ; two new superfamilies of metallohydrolases; a lipoyl/biotin swinging arm domain in bacterial membrane fusion proteins; and a DH domain in the yeast Bud3 and Fus2 proteins. By identifying distant relationships and merging families into superfamilies in this way, this analysis further confirms the notion that proteins evolved from relatively few ancient sequences. Moreover, this method automatically generates models of these ancient conserved regions for rapid and sensitive screening of sequences.
机译:生物学家通常通过构建家族的多重比对模型来获得对蛋白质序列的结构和功能见解。在这里,一个名为Probe的程序从一个序列开始就完全自动化了模型构建的过程。该程序的核心是一种强大的新方法,该方法只能定位和对齐通常对整个家庭必不可少的那些保守的模式。当应用于随机选择的蛋白质时,Probe发现的平均关系是成对搜索的四倍,并产生了许多新发现。这些包括:the虫秀丽隐杆线虫中的球蛋白的模糊亚科;两个新的金属水解酶超家族;细菌膜融合蛋白中的脂酰/生物素摆臂结构域;酵母Bud3和Fus2蛋白中的DH结构域。通过确定远距离的关系并以这种方式将家族合并为超家族,该分析进一步证实了蛋白质是从相对较少的古代序列进化而来的观念。此外,此方法自动生成这些古代保护区的模型,以便快速,灵敏地筛选序列。

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