Neduva Victor, Russell Robert B
EMBL, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W350-5. doi: 10.1093/nar/gkl159.
Discovery of protein functional motifs is critical in modern biology. Small segments of 3-10 residues play critical roles in protein interactions, post-translational modifications and trafficking. DILIMOT (DIscovery of LInear MOTifs) is a server for the prediction of these short linear motifs within a set of proteins. Given a set of sequences sharing a common functional feature (e.g. interaction partner or localization) the method finds statistically over-represented motifs likely to be responsible for it. The input sequences are first passed through a set of filters to remove regions unlikely to contain instances of linear motifs. Motifs are then found in the remaining sequence and ranked according to a statistic that measure over-representation and conservation across homologues in related species. The results are displayed via a visual interface for easy perusal. The server is available at http://dilimot.embl.de.
蛋白质功能基序的发现对现代生物学至关重要。由3至10个残基组成的小片段在蛋白质相互作用、翻译后修饰和运输过程中发挥着关键作用。DILIMOT(线性基序发现工具)是一个用于预测一组蛋白质中这些短线性基序的服务器。给定一组具有共同功能特征(如相互作用伙伴或定位)的序列,该方法会找出可能对此负责的统计学上过度富集的基序。输入序列首先会经过一组过滤器,以去除不太可能包含线性基序实例的区域。然后在剩余序列中找到基序,并根据衡量相关物种中同源物间过度富集和保守性的统计数据进行排序。结果通过可视化界面展示,便于查阅。该服务器可在http://dilimot.embl.de获取。