短序列片段中序列和空间基序发现的组合模型：来自β-桶膜蛋白的实例
Combinatorial model for sequence and spatial motif discovery in short sequence fragments: examples from beta-barrel membrane proteins.
作者信息
Jackups Ronald, Liang Jie
机构信息
Dept. of Bioeng., Illinois Univ., Chicago, IL 60607-7052, USA.
出版信息
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:3470-3. doi: 10.1109/IEMBS.2006.259727.
Abstract
Motifs are over-represented sequence or spatial patterns appearing in proteins. They often play important roles in maintaining protein stability and in facilitating protein functions. When motifs are located in short sequence fragments, as in transmembrane domains that are only 10-20 residues in length, and when there is only very limited data, it is difficult to identify motifs. In this study, we develop combinatorial models for assessing statistically significant sequence and spatial patterns. We show our method can uncover previously unknown sequence and spatial motifs in beta-barrel membrane proteins.
摘要
基序是蛋白质中出现的过度呈现的序列或空间模式。它们在维持蛋白质稳定性和促进蛋白质功能方面通常发挥重要作用。当基序位于短序列片段中时，如长度仅为10 - 20个残基的跨膜结构域，并且数据非常有限时，很难识别基序。在本研究中，我们开发了组合模型来评估具有统计学意义的序列和空间模式。我们表明我们的方法可以揭示β-桶状膜蛋白中以前未知的序列和空间基序。
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