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LogoMotif: A Comprehensive Database of Transcription Factor Binding Site Profiles in Actinobacteria.
Augustijn, Hannah E; Karapliafis, Dimitris; Joosten, Kristy M M; Rigali, Sébastien; van Wezel, Gilles P; Medema, Marnix H.
Afiliação
  • Augustijn HE; Bioinformatics Group, Wageningen University, Wageningen, The Netherlands; Molecular Biotechnology, Institute of Biology, Leiden University, Leiden, The Netherlands.
  • Karapliafis D; Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.
  • Joosten KMM; Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.
  • Rigali S; InBioS - Center for Protein Engineering, University of Liège, Institut de Chimie, B-4000 Liège, Belgium.
  • van Wezel GP; Molecular Biotechnology, Institute of Biology, Leiden University, Leiden, The Netherlands. Electronic address: g.wezel@biology.leidenuniv.nl.
  • Medema MH; Bioinformatics Group, Wageningen University, Wageningen, The Netherlands; Molecular Biotechnology, Institute of Biology, Leiden University, Leiden, The Netherlands. Electronic address: marnix.medema@wur.nl.
J Mol Biol ; : 168558, 2024 Apr 03.
Article em En | MEDLINE | ID: mdl-38580076
ABSTRACT
Actinobacteria undergo a complex multicellular life cycle and produce a wide range of specialized metabolites, including the majority of the antibiotics. These biological processes are controlled by intricate regulatory pathways, and to better understand how they are controlled we need to augment our insights into the transcription factor binding sites. Here, we present LogoMotif (https//logomotif.bioinformatics.nl), an open-source database for characterized and predicted transcription factor binding sites in Actinobacteria, along with their cognate position weight matrices and hidden Markov models. Genome-wide predictions of binding site locations in Streptomyces model organisms are supplied and visualized in interactive regulatory networks. In the web interface, users can freely access, download and investigate the underlying data. With this curated collection of actinobacterial regulatory interactions, LogoMotif serves as a basis for binding site predictions, thus providing users with clues on how to elicit the expression of genes of interest and guide genome mining efforts.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article