The MiST2 database: a comprehensive genomics resource on microbial signal transduction.
The MiST2 database: a comprehensive genomics resource on microbial signal transduction.
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DOI：
10.1093/nar/gkp940
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发表时间：
2010-01
影响因子：
14.9
通讯作者：
Zhulin IB
中科院分区：
文献类型：
--
作者：
Ulrich LE;Zhulin IB
MIST2数据库(http://mistdb.com))识别和编目微生物基因组中的信号转导蛋白谱系。信号转导系统调节大多数细胞活动，包括人类病原体的新陈代谢、发育、宿主识别、生物被膜产生、毒力和抗生素耐药性。因此，对构成这些通讯网络的蛋白质和相互作用的了解是进一步推进生物医学发现的重要组成部分。这些基因是通过搜索特定结构域的蛋白质序列来识别的，这些结构域与信号转导有关。与前一版本的数据库相比，MiST2包含了许多新的功能和改进，包括：基因组草稿；胞质外功能(ECF)sigma因子蛋白质鉴定；增强的信号蛋白质分类；用于识别组氨酸激酶和反应调节因子的新颖、高质量的结构域模型；邻近的双组分基因；基因车；更好的搜索能力；增强的分类浏览器；先进的基因组浏览器；以及一个现代的、生物学家友好的网络界面。MiST2目前包含966个完整的细菌和古生菌基因组和157个草稿基因组，总共包含超过24.5万个信号转导蛋白。其中大多数(66%)是单组分系统，其次是双组分蛋白(26%)，趋化性(6%)，最后是ECF因子(2%)。
The MiST2 database (http://mistdb.com) identifies and catalogs the repertoire of signal transduction proteins in microbial genomes. Signal transduction systems regulate the majority of cellular activities including the metabolism, development, host-recognition, biofilm production, virulence, and antibiotic resistance of human pathogens. Thus, knowledge of the proteins and interactions that comprise these communication networks is an essential component to furthering biomedical discovery. These are identified by searching protein sequences for specific domain profiles that implicate a protein in signal transduction. Compared to the previous version of the database, MiST2 contains a host of new features and improvements including the following: draft genomes; extracytoplasmic function (ECF) sigma factor protein identification; enhanced classification of signaling proteins; novel, high-quality domain models for identifying histidine kinases and response regulators; neighboring two-component genes; gene cart; better search capabilities; enhanced taxonomy browser; advanced genome browser; and a modern, biologist-friendly web interface. MiST2 currently contains 966 complete and 157 draft bacterial and archaeal genomes, which collectively contain more than 245 000 signal transduction proteins. The majority (66%) of these are one-component systems, followed by two-component proteins (26%), chemotaxis (6%), and finally ECF factors (2%).
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影响因子：
14.9
作者：
Ulrich LE;Zhulin IB
通讯作者：
Zhulin IB
影响因子：
14.9
作者：
UniProt Consortium
通讯作者：
UniProt Consortium
影响因子：
10.7
作者：
Koretke, KK;Lupas, AN;Brown, JR
通讯作者：
Brown, JR
影响因子：
14.9
作者：
Lin M;Zhang C;Gibson K;Rikihisa Y
通讯作者：
Rikihisa Y
影响因子：
4.4
作者：
Anderson IJ;Dharmarajan L;Rodriguez J;Hooper S;Porat I;Ulrich LE;Elkins JG;Mavromatis K;Sun H;Land M;Lapidus A;Lucas S;Barry K;Huber H;Zhulin IB;Whitman WB;Mukhopadhyay B;Woese C;Bristow J;Kyrpides N
通讯作者：
Kyrpides N