RegPredict: An integrated system for regulon inference in prokaryotes by comparative genomics approach

Pavel S. Novichkov, Dmitry A. Rodionov, Elena D. Stavrovskaya, Elena S. Novichkova, Alexey E. Kazakov, Mikhail S. Gelfand, Adam P. Arkin, Andrey A. Mironov, Inna Dubchak

Research output: Contribution to journalArticlepeer-review

106 Citations (Scopus)


RegPredict web server is designed to provide comparative genomics tools for reconstruction and analysis of microbial regulons using comparative genomics approach. The server allows the user to rapidly generate reference sets of regulons and regulatory motif profiles in a group of prokaryotic genomes. The new concept of a cluster of co-regulated orthologous operons allows the user to distribute the analysis of large regulons and to perform the comparative analysis of multiple clusters independently. Two major workflows currently implemented in RegPredict are: (i) regulon reconstruction for a known regulatory motif and (ii) ab initio inference of a novel regulon using several scenarios for the generation of starting gene sets. RegPredict provides a comprehensive collection of manually curated positional weight matrices of regulatory motifs. It is based on genomic sequences, ortholog and operon predictions from the MicrobesOnline. An interactive web interface of RegPredict integrates and presents diverse genomic and functional information about the candidate regulon members from several web resources. RegPredict is freely accessible at

Original languageEnglish
Article numbergkq531
Pages (from-to)W299-W307
JournalNucleic Acids Research
Issue numberSUPPL. 2
Publication statusPublished - 11 Jun 2010
Externally publishedYes


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