ArticleBioinformatics (Oxford, England)2013
GPCR ontology: development and application of a G protein-coupled receptor pharmacology knowledge framework.
Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 29 citations in OpenAlex.
- Advancing the bioassay ontology through integrated PK/PD and safety pharmacology representation.Journal of biomedical semantics · 2026Article
- GPCR signaling systems facilitate precision interventions for multi-oncology therapy.Frontiers in systems biology · 2026Review
- How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM).Methods in molecular biology (Clifton, N.J.) · 2019Article
- Drug target ontology to classify and integrate drug discovery data.Journal of biomedical semantics · 2017Article
- Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.Journal of biomedical informatics · 2016Article
- Targeting the IGF-1R: The Tale of the Tortoise and the Hare.Frontiers in endocrinology · 2015Review
- Evolving BioAssay Ontology (BAO): modularization, integration and applications.Journal of biomedical semantics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
motivationNovel tools need to be developed to help scientists analyze large amounts of available screening data with the goal to identify entry points for the development of novel chemical probes and drugs. As the largest class of drug targets, G protein-coupled receptors (GPCRs) remain of particular interest and are pursued by numerous academic and industrial research projects.
resultsWe report the first GPCR ontology to facilitate integration and aggregation of GPCR-targeting drugs and demonstrate its application to classify and analyze a large subset of the PubChem database. The GPCR ontology, based on previously reported BioAssay Ontology, depicts available pharmacological, biochemical and physiological profiles of GPCRs and their ligands. The novelty of the GPCR ontology lies in the use of diverse experimental datasets linked by a model to formally define these concepts. Using a reasoning system, GPCR ontology offers potential for knowledge-based classification of individuals (such as small molecules) as a function of the data. AVAILABILITY: The GPCR ontology is available at http://www.bioassayontology.org/bao_gpcr and the National Center for Biomedical Ontologies Web site.
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.