LogoMotif

LogoMotif catalogs characterized and predicted transcription factor binding sites (TFBS) and supplies associated position weight matrices (PWMs) and hidden Markov models (HMMs) for regulatory analysis in Actinobacteria.


Key Features:

  • Characterized and predicted TFBS: Includes both experimentally characterized and computationally predicted transcription factor binding sites (TFBS) for Actinobacteria.
  • Position weight matrices (PWMs): Provides PWMs associated with TFBS for motif analysis.
  • Hidden Markov models (HMMs): Provides HMMs associated with TFBS for motif representation.
  • Genome-wide TFBS predictions in Streptomyces: Contains genome-wide predictions of TFBS locations specifically within Streptomyces model organisms.
  • Curated regulatory interactions: Contains a curated collection of regulatory interactions within Actinobacteria that support binding site annotations.
  • Regulatory network visualizations: Includes visual representations of regulatory networks linking transcription factors to their binding sites.

Scientific Applications:

  • Modeling regulatory mechanisms: Supports analysis and modeling of transcriptional regulatory networks underlying multicellular development in Actinobacteria.
  • Specialized metabolite and antibiotic regulation: Enables investigation of regulatory control over specialized metabolite production, including antibiotics.
  • Genome mining guidance: Guides genome mining efforts by providing predicted binding sites to prioritize regulatory loci.
  • Streptomyces regulatory mapping: Facilitates genome-wide mapping of TFBS in Streptomyces model organisms to study regulatory architecture.

Methodology:

Provides position weight matrices (PWMs) and hidden Markov models (HMMs) linked to characterized and predicted TFBS, performs genome-wide TFBS predictions in Streptomyces, and associates curated regulatory interactions with binding site annotations.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
6/18/2024
Last Updated:
11/24/2024

Operations

Publications

Augustijn HE, Karapliafis D, Joosten KM, Rigali S, van Wezel GP, Medema MH. LogoMotif: A Comprehensive Database of Transcription Factor Binding Site Profiles in Actinobacteria. Journal of Molecular Biology. 2024;436(17):168558. doi:10.1016/j.jmb.2024.168558. PMID:38580076.

PMID: 38580076
Funding: - European Research Council: 101055020-COMMUNITY, 948770-DECIPHER

Links