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Open Targets specifications


Unique identifier OMICS_14227
Name Open Targets
Interface Web user interface, Application programming interface
Restrictions to use None
Programming languages Javascript, Python, R
License Apache License version 2.0
Computer skills Basic
Version 2.0.5
Stability Stable
Maintained Yes



  • person_outline Gautier Koscielny
  • person_outline Denise Carvalho-Silva

Publications for Open Targets

Open Targets citations


Time resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3

BMC Biol
PMCID: 5937035
PMID: 29730990
DOI: 10.1186/s12915-018-0518-3

[…] To derive association scores from the Open Targets resource ( the version from September 2016 was used. A minimum score of 0.25 was used to filter out weak associations. The enrichment was tested as above with a hyperg […]


Pharmacogenomics of GPCR Drug Targets

PMCID: 5766829
PMID: 29249361
DOI: 10.1016/j.cell.2017.11.033

[…] or the actual study that reported the altered drug response. Higher disease ontology categories were assigned using the Experimental Factor Ontology (EFO) retrieved from the Open Targets database (). Corresponding positions and amino acid substitutions of reported SNP identifiers were retrieved using BioMart for the “canonical transcripts” as stored in GPCRdb () (). Netwo […]


Expression Atlas: gene and protein expression across multiple studies and organisms

Nucleic Acids Res
PMCID: 5753389
PMID: 29165655
DOI: 10.1093/nar/gkx1158

[…] ant Reactome (), via Javascript-based widgets. Since the last update, the baseline expression widget is also available through WormBase (), the Complex Portal () and the Target Validation Platform by Open Targets (). The widgets are easily accessible ( and can be integrated in any third-party site, provided that the bioentity identifiers match those of Expressi […]


Computer simulation models as a tool to investigate the role of microRNAs in osteoarthritis

PLoS One
PMCID: 5695613
PMID: 29095952
DOI: 10.1371/journal.pone.0187568

[…] maintenance of the cytoskeleton (TUBB3) (). In addition, we considered 13 additional targets of miR-200c-3p that have strong validation evidence with important roles in cancer, but were not found in Open Targets as important in OA. Of these, we discovered that five targets (DNMT3A, DNMT3B, NOTCH1, SP1, and ZEB1) have been shown to be potentially important in cartilage maintenance, chondocyte hype […]


Drug enrichment and discovery from schizophrenia genome wide association results: an analysis and visualisation approach

Sci Rep
PMCID: 5622077
PMID: 28963561
DOI: 10.1038/s41598-017-12325-3

[…] SuperArray. These “pathways” provide a practical way to investigate the function of a subnetwork without accounting for the complexity of biological networks. Disease pathways were extracted from the Open Targets platform in January 2017 and gene families were identified using information provided on the HGNC website. The total number of biological pathways was 13,572 (9408 independent pathways). […]


In silico prediction of novel therapeutic targets using gene–disease association data

J Transl Med
PMCID: 5576250
PMID: 28851378
DOI: 10.1186/s12967-017-1285-6

[…] We have presented a machine learning approach that is able to make accurate predictions of therapeutic targets based on the gene–disease association data present in the Open Targets platform, demonstrating that disease association is predictive of the ability of a gene or a protein to work as a drug target. Importantly, our predictions are individual targets, and not […]


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Open Targets institution(s)
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK; Open Targets, Wellcome Genome Campus, Hinxton, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK; GSK, Medicines Research Center, Gunnels Wood Road, Stevenage, UK; Biogen, Cambridge, MA, USA
Open Targets funding source(s)
Supported by Open Targets.

Open Targets review

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Anonymous user #11695

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Platform dedicated to identify and rank targets for follow up in drug pipelines.
A sustainable, easy to use resource to find connections between gene and diseases.
(full disclosure: I contributed to the tool)