RegTransBase - a database of regulatory sequences and interactions in a wide range of prokaryotic genomes

被引:69
作者
Kazakov, Alexei E.
Cipriano, Michael J.
Novichkov, Pavel S.
Minovitsky, Simon
Vinogradov, Dmitry V.
Arkin, Adam
Mironov, Andrey A.
Gelfand, Mikhail S.
Dubchak, Inna
机构
[1] RAS, Inst Problems Informat Transmiss, Moscow 127994, Russia
[2] Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
[3] Natl Lib Med, Natl Ctr Biotechnol Informat, NIH, Bethesda, MD 20894 USA
[4] Univ Calif Berkeley, Dept Bioengn, Albany, CA 94710 USA
[5] Virtual Inst Microbial Stress & Survival, Albany, CA 94710 USA
[6] Moscow MV Lomonosov State Univ, Fac Bioengn & Bioinformat, Moscow 119992, Russia
[7] State Res Ctr GosNIIGenet, Moscow 117545, Russia
[8] Joint Genome Inst, Dept Energy, Walnut Creek, CA 94598 USA
关键词
D O I
10.1093/nar/gkl865
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
RegTransBase is a manually curated database of regulatory interactions in prokaryotes that captures the knowledge in public scientific literature using a controlled vocabulary. Although several databases describing interactions between regulatory proteins and their binding sites are already being maintained, they either focus mostly on the model organisms Escherichia coli and Bacillus subtilis or are entirely computationally derived. RegTransBase describes a large number of regulatory interactions reported in many organisms and contains the following types of experimental data: the activation or repression of transcription by an identified direct regulator, determining the transcriptional regulatory function of a protein (or RNA) directly binding to DNA (RNA), mapping or prediction of a binding site for a regulatory protein and characterization of regulatory mutations. Currently, RegTransBase content is derived from about 3000 relevant articles describing over 7000 experiments in relation to 128 microbes. It contains data on the regulation of about 7500 genes and evidence for 6500 interactions with 650 regulators. RegTransBase also contains manually created position weight matrices (PWM) that can be used to identify candidate regulatory sites in over 60 species. RegTransBase is available at http://regtransbase.lbl.gov.
引用
收藏
页码:D407 / D412
页数:6
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