ArticleNucleic acids research2015
BioAssay Research Database (BARD): chemical biology and probe-development enabled by structured metadata and result types.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Advancing the bioassay ontology through integrated PK/PD and safety pharmacology representation.Journal of biomedical semantics · 2026Article
- A Novel Fluorescence Polarization Binding Assay for the Main Protease (MACS pharmacology & translational science · 2025Article
- Data Mining Approach for Extraction of Useful Information About Biologically Active Compounds from Publications.Journal of chemical information and modeling · 2019Article
- Data Mining and Computational Modeling of High-Throughput Screening Datasets.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Entering the 'big data' era in medicinal chemistry: molecular promiscuity analysis revisited.Future science OA · 2017Review
- Applications of chemogenomic library screening in drug discovery.Nature reviews. Drug discovery · 2017Review
- Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB).Drug discovery today · 2017Review
- PubChem BioAssay: 2017 update.Nucleic acids research · 2017Article
- CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network.Database : the journal of biological databases and curation · 2017Article
- Article
- bioassayR: Cross-Target Analysis of Small Molecule Bioactivity.Journal of chemical information and modeling · 2016Article
- Fluorescence polarization assays in high-throughput screening and drug discovery: a review.Methods and applications in fluorescence · 2016Article
- How to Triage PAINS-Full Research.Assay and drug development technologies · 2016Article
- Reporting biological assay screening results for maximum impact.Drug discovery today. Technologies · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors.
Funding
Abstract
BARD, the BioAssay Research Database (https://bard.nih.gov/) is a public database and suite of tools developed to provide access to bioassay data produced by the NIH Molecular Libraries Program (MLP). Data from 631 MLP projects were migrated to a new structured vocabulary designed to capture bioassay data in a formalized manner, with particular emphasis placed on the description of assay protocols. New data can be submitted to BARD with a user-friendly set of tools that assist in the creation of appropriately formatted datasets and assay definitions. Data published through the BARD application program interface (API) can be accessed by researchers using web-based query tools or a desktop client. Third-party developers wishing to create new tools can use the API to produce stand-alone tools or new plug-ins that can be integrated into BARD. The entire BARD suite of tools therefore supports three classes of researcher: those who wish to publish data, those who wish to mine data for testable hypotheses, and those in the developer community who wish to build tools that leverage this carefully curated chemical biology resource.
Indexed as
Identifiers
What OpenQuestion holds
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.