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