GroovDB: A Database of Ligand-Inducible Transcription Factors

ACS Synth Biol. 2022 Oct 21;11(10):3534-3537. doi: 10.1021/acssynbio.2c00382. Epub 2022 Sep 30.

Abstract

Genetic biosensors are integral to synthetic biology. In particular, ligand-inducible prokaryotic transcription factors are frequently used in high-throughput screening, for dynamic feedback regulation, as multilayer logic gates, and in diagnostic applications. In order to provide a curated source that users can rely on for engineering applications, we have developed GroovDB (available at https://groov.bio), a Web-accessible database of ligand-inducible transcription factors that contains all information necessary to build chemically responsive genetic circuits, including biosensor sequence, ligand, and operator data. Ligand and DNA interaction data have been verified against the literature, while an automated data curation pipeline is used to programmatically fetch metadata, structural information, and references for every entry. A custom tool to visualize the natural genetic context of biosensor entries provides potential insights into alternative ligands and systems biology.

Keywords: GroovDB; biosensor; database; inducer; ligand; transcription factor.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Biosensing Techniques*
  • DNA
  • DNA-Binding Proteins / genetics
  • Ligands
  • Synthetic Biology
  • Transcription Factors* / genetics

Substances

  • Transcription Factors
  • Ligands
  • DNA-Binding Proteins
  • DNA