GroovDB

GroovDB catalogs curated ligand-inducible prokaryotic transcription factors with associated biosensor sequences, ligands, and operator data to support design and analysis of chemically responsive genetic circuits.


Key Features:

  • Curated Data: Entries include biosensor sequences, associated ligands, and operator data relevant for engineering chemically responsive genetic circuits.
  • Verified Interactions: Ligand–DNA interaction data are verified against primary literature to ensure accuracy of reported biosensor–ligand and biosensor–operator relationships.
  • Automated Curation Pipeline: A programmatic pipeline fetches metadata, structural information, and literature references for each entry.
  • Visualization Tool: A custom visualization of natural genetic context displays surrounding genes and operon organization to inform potential alternative ligands and regulatory context.

Scientific Applications:

  • High-throughput Screening: Provides characterized transcription factors and ligand annotations to support screening of biosensor candidates.
  • Dynamic Feedback Regulation: Enables selection of ligand-inducible regulators for designing circuits with ligand-responsive feedback control.
  • Multilayer Logic Gates: Supplies data on multiple ligand-inducible transcription factors and operators for constructing combinatorial and multilayer genetic logic gates.
  • Diagnostic Applications: Supports development of ligand-responsive diagnostic elements by providing ligand annotations and characterized biosensor sequences.

Methodology:

Programmatic pipeline fetches metadata, structural information, and references for each entry, and ligand–DNA interaction data are verified against the literature.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
2/27/2023
Last Updated:
11/24/2024

Operations

Publications

d’Oelsnitz S, Love JD, Diaz DJ, Ellington AD. GroovDB: A Database of Ligand-Inducible Transcription Factors. ACS Synthetic Biology. 2022;11(10):3534-3537. doi:10.1021/acssynbio.2c00382. PMID:36178800.

PMID: 36178800
Funding: - Welch Foundation: F-1654 - National Institute of Standards and Technology: 70NANB21H100 - U.S. Department of Defense: FA9550-14-1-0089 - U.S. Department of Health and Human Services: 5R01EB026533-04