ArticleACS synthetic biology2022
GroovDB: A Database of Ligand-Inducible Transcription Factors.
Article in ACS synthetic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed.
- A versatile method for designing biosensors via regulatory domains of allosteric enzymes.Nature communications · 2026Article
- Synthetic microbial co-cultures for modular bioelectronic sensing in diverse environments.Nature biotechnology · 2026Article
- Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- groovDB in 2026: a community-editable database of small molecule biosensors.Nucleic acids research · 2026Article
- Directed Evolution in Escherichia coli for Novel Ligand-Binding Regulators: Evolving a Progesterone-Responsive Transcription Factor to Bind Cortisol.Current protocols · 2025Article
- Biological Switches: Past and Future Milestones of Transcription Factor-Based Biosensors.ACS synthetic biology · 2025Review
- Bacterial Metallostasis: Metal Sensing, Metalloproteome Remodeling, and Metal Trafficking.Chemical reviews · 2024Review
- Engineering conditional protein-protein interactions for dynamic cellular control.Biotechnology advances · 2024Review
- Highly multiplexed design of an allosteric transcription factor to sense new ligands.Nature communications · 2024Article
- Ligify: Automated Genome Mining for Ligand-Inducible Transcription Factors.ACS synthetic biology · 2024Article
- Snowprint: a predictive tool for genetic biosensor discovery.Communications biology · 2024Article
- Article
- Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology.Biodesign research · 2024Article
- Applications of artificial intelligence and machine learning in dynamic pathway engineering.Biochemical Society transactions · 2023Review
- MoBioS: Modular Platform Technology for High-Throughput Construction and Characterization of Tunable Transcriptional Biological Sensors.Biosensors · 2023Article
- Sensbio: an online server for biosensor design.BMC bioinformatics · 2023Article
- Minireview: Engineering evolution to reconfigure phenotypic traits in microbes for biotechnological applications.Computational and structural biotechnology journal · 2023Review
- Characterization of Eight Bacterial Biosensors for Microbial Diagnostic and Therapeutic Applications.ACS synthetic biology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.