ELM--the database of eukaryotic linear motifs.

ELM--the database of eukaryotic linear motifs.
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DOI:
10.1093/nar/gkr1064
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发表时间:
2012-01
影响因子:
14.9
通讯作者:
Gibson TJ
Gibson TJ
中科院分区:
生物学2区
文献类型:
--
作者:
Dinkel H;Michael S;Weatheritt RJ;Davey NE;Van Roey K;Altenberg B;Toedt G;Uyar B;Seiler M;Budd A;Jödicke L;Dammert MA;Schroeter C;Hammer M;Schmidt T;Jehl P;McGuigan C;Dymecka M;Chica C;Luck K;Via A;Chatr-Aryamontri A;Haslam N;Grebnev G;Edwards RJ;Steinmetz MO;Meiselbach H;Diella F;Gibson TJ

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线性基序是调节蛋白质的短的、进化上可塑的组分,并且提供低亲和力相互作用界面。这些紧凑的模块在介导细胞调节功能的各个方面中发挥着核心作用。它们在介导细胞信号传导、控制蛋白质周转和指导蛋白质定位方面特别突出。考虑到它们的重要性,我们对基序的理解令人惊讶地有限,这主要是由于发现的困难,无论是实验还是计算。http://elm.eu.org上的真核线性基序(ELM)资源为生物界提供了已知实验验证基序的综合数据库,以及在用户提交的蛋白质序列中发现推定线性基序的探索性工具。ELM数据库的当前更新包括1800个注释的基序实例,代表170个不同的功能类别,包括大约500个新实例和24个新类别。一些旧的主题类条目也被重新访问,改进注释并添加新的实例。此外,增加了全文搜索能力、增强了界面和简化了批量下载,从而改善了环境和土地管理数据的总体可访问性。ELM资源的基序发现部分增加了保护,并且结构属性已被纳入,以帮助用户从随机发生的非功能性实例中区分生物相关的基序。
Linear motifs are short, evolutionarily plastic components of regulatory proteins and provide low-affinity interaction interfaces. These compact modules play central roles in mediating every aspect of the regulatory functionality of the cell. They are particularly prominent in mediating cell signaling, controlling protein turnover and directing protein localization. Given their importance, our understanding of motifs is surprisingly limited, largely as a result of the difficulty of discovery, both experimentally and computationally. The Eukaryotic Linear Motif (ELM) resource at http://elm.eu.org provides the biological community with a comprehensive database of known experimentally validated motifs, and an exploratory tool to discover putative linear motifs in user-submitted protein sequences. The current update of the ELM database comprises 1800 annotated motif instances representing 170 distinct functional classes, including approximately 500 novel instances and 24 novel classes. Several older motif class entries have been also revisited, improving annotation and adding novel instances. Furthermore, addition of full-text search capabilities, an enhanced interface and simplified batch download has improved the overall accessibility of the ELM data. The motif discovery portion of the ELM resource has added conservation, and structural attributes have been incorporated to aid users to discriminate biologically relevant motifs from stochastically occurring non-functional instances.
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