Sentra: a database of signal transduction proteins for comparative genome analysis

被引:20
作者
D'Souza, Mark
Glass, Elizabeth M.
Syed, Mustafa H.
Zhang, Yi
Rodriguez, Alexis
Maltsev, Natalia
Galperin, Michael Y.
机构
[1] Argonne Natl Lab, Div Math & Comp Sci, Computat Biol Grp, Argonne, IL 60439 USA
[2] Univ Chicago, Comp Inst, Chicago, IL 60637 USA
[3] Natl Lib Med, Natl Ctr Biotechnol Informat, NIH, Bethesda, MD 20894 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1093/nar/gkl949
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Sentra (http://compbio.mcs.anl.gov/sentra), a database of signal transduction proteins encoded in completely sequenced prokaryotic genomes, has been updated to reflect recent advances in understanding signal transduction events on a whole-genome scale. Sentra consists of two principal components, a manually curated list of signal transduction proteins in 202 completely sequenced prokaryotic genomes and an automatically generated listing of predicted signaling proteins in 235 sequenced genomes that are awaiting manual curation. In addition to two-component histidine kinases and response regulators, the database now lists manually curated Ser/Thr/Tyr protein kinases and protein phosphatases, as well as adenylate and diguanylate cyclases and c-di-GMP phosphodiesterases, as defined in several recent reviews. All entries in Sentra are extensively annotated with relevant information from public databases (e.g. UniProt, KEGG, PDB and NCBI). Sentra's infrastructure was redesigned to support interactive cross-genome comparisons of signal transduction capabilities of prokaryotic organisms from a taxonomic and phenotypic perspective and in the framework of signal transduction pathways from KEGG. Sentra leverages the PUMA2 system to support interactive analysis and annotation of signal transduction proteins by the users.
引用
收藏
页码:D271 / D273
页数:3
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