Evidence map›Paper›PMID 41171132›Full record

ArticleNucleic acids research2026

groovDB in 2026: a community-editable database of small molecule biosensors.

Joshua D Love, Brady M Rafferty, Michael Thomas, Nicole N Zhao, Pranay Talla, Michael Springer, Pamela A Silver, Simon d'Oelsnitz

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joshua D LoveIndependent Software Engineer, Rochester, MN 55906, United States.ORCID 0000-0002-8485-6740
Brady M RaffertyDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, United States.ORCID 0009-0009-0657-6610
Michael ThomasDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, United States.ORCID 0009-0008-1537-8889
Nicole N ZhaoDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, United States.ORCID 0009-0009-9144-3598
Pranay TallaDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, United States.ORCID 0000-0001-9826-4546
Michael SpringerSynthetic Biology HIVE, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, United States.ORCID 0000-0002-3970-6380
Pamela A SilverSynthetic Biology HIVE, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, United States.ORCID 0000-0002-7856-4071
Simon d'OelsnitzSynthetic Biology HIVE, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, United States.ORCID 0000-0001-7512-9157

Funding

FAS Center for Systems Biology, Harvard UniversityHarvard Medical School Synthetic Biology HIVE
6 · The paper itself

Abstract

The groovDB database (https://groov.bio) was launched in 2022 with the goal of organizing information on prokaryotic ligand-inducible transcription factors (TFs). This class of proteins is important in fundamental areas of microbiology research and for biotechnological applications that develop biosensors for diagnostics, enzyme screening, and real-time metabolite tracking. Uniquely, groovDB contains stringently curated, literature-referenced data on both TF:DNA and TF:ligand interactions. Here, we describe a major technical update to groovDB, making the database community-editable and adding several advanced features. Users can now add new TF entries and update existing entries using a simple online form. New user interface elements display interactive protein structures and DNA-binding motifs. Updated query methods enable database searches via text, chemical similarity, and attribute filtering. A new data architecture reduces page load time by five-fold. Finally, the number of TF entries has more than doubled and all source code is now open-access.

Indexed as

Biosensing TechniquesDatabases, ProteinTranscription FactorsDNAInternetLigandsSoftwareUser-Computer InterfaceDNALigandsTranscription Factors

Identifiers

PMID41171132
PMCPMC12807752

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.