MiST: a microbial signal transduction database.

MiST: a microbial signal transduction database.
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DOI:
10.1093/nar/gkl932
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发表时间:
2007-01
影响因子:
14.9
通讯作者:
Zhulin IB
Zhulin IB
中科院分区:
生物学2区
文献类型:
--
作者:
Ulrich LE;Zhulin IB

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信号转导途径控制活细胞中的大多数细胞活动,范围从基因表达的调节到微调酶活性和响应细胞外和细胞内信号控制运动行为。由于它们极端的序列变异性和广泛的结构域改组,信号转导蛋白很难识别,并且它们在大多数领先数据库中的当前注释通常是不完整或错误的。为了克服这个问题,我们开发了微生物信号转导(MiST)数据库(),这是一个来自完全测序的细菌和古细菌基因组的信号转导蛋白的综合文库。通过搜索域配置文件,牵连一个特定的蛋白质参与信号转导,我们已经系统地确定了69 270个两个和一个组件的蛋白质在365细菌和古细菌基因组。我们设计了一个用户友好的网站,以访问和浏览各种生物体内预测的信号转导蛋白。其他功能包括基因/蛋白质序列检索、可视化结构域架构、用于探索基因邻域的交互式染色体视图、高级查询选项和跨物种比较。每个月都有新的完整基因组被加载到数据库中。MiST是微生物基因组中信号机制的唯一全面和最新的电子目录。
Signal transduction pathways control most cellular activities in living cells ranging from regulation of gene expression to fine-tuning enzymatic activity and controlling motile behavior in response to extracellular and intracellular signals. Because of their extreme sequence variability and extensive domain shuffling, signal transduction proteins are difficult to identify, and their current annotation in most leading databases is often incomplete or erroneous. To overcome this problem, we have developed the microbial signal transduction (MiST) database (), a comprehensive library of the signal transduction proteins from completely sequenced bacterial and archaeal genomes. By searching for domain profiles that implicate a particular protein as participating in signal transduction, we have systematically identified 69 270 two- and one-component proteins in 365 bacterial and archaeal genomes. We have designed a user-friendly website to access and browse the predicted signal transduction proteins within various organisms. Further capabilities include gene/protein sequence retrieval, visualized domain architectures, interactive chromosomal views for exploring gene neighborhood, advanced querying options and cross-species comparison. Newly available, complete genomes are loaded into the database each month. MiST is the only comprehensive and up-to-date electronic catalog of the signaling machinery in microbial genomes.
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