Open Targets Platform: supporting systematic drug–target identification and prioritisation

David Ochoa(European Bioinformatics Institute), Andrew Hercules(European Bioinformatics Institute), Miguel Carmona(European Bioinformatics Institute), Dániel Süveges(European Bioinformatics Institute), Asier Gonzalez‐Uriarte(European Bioinformatics Institute), Claudio Malangone(European Bioinformatics Institute), Alfredo Miranda(European Bioinformatics Institute), Luca Fumis(European Bioinformatics Institute), Denise Carvalho‐Silva(European Bioinformatics Institute), Michaela Spitzer(European Bioinformatics Institute), Jarrod Baker(European Bioinformatics Institute), Javier Ferrer(European Bioinformatics Institute), Arwa Bin Raies(European Bioinformatics Institute), Olesya Razuvayevskaya(European Bioinformatics Institute), Adam Faulconbridge(European Bioinformatics Institute), Eirini Petsalaki(European Bioinformatics Institute), Prudence Mutowo(GlaxoSmithKline (United Kingdom)), Sandra Machlitt‐Northen(GlaxoSmithKline (United Kingdom)), Gareth Peat(European Bioinformatics Institute), Elaine McAuley(European Bioinformatics Institute), Chuang Kee Ong(European Bioinformatics Institute), Edward Mountjoy(Wellcome Sanger Institute), Maya Ghoussaini(Wellcome Sanger Institute), Andrea Pierleoni(European Bioinformatics Institute), Eliseo Papa(Biogen (United States)), Miguel Pignatelli(European Bioinformatics Institute), Gautier Koscielny(GlaxoSmithKline (United Kingdom)), Mohd Anisul Karim(Wellcome Sanger Institute), Jeremy Schwartzentruber(Wellcome Sanger Institute), David G. Hulcoop(GlaxoSmithKline (United Kingdom)), Ian Dunham(European Bioinformatics Institute), Ellen M. McDonagh(European Bioinformatics Institute)
Nucleic Acids Research
November 11, 2020
Cited by 515Open Access
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Abstract

The Open Targets Platform (https://www.targetvalidation.org/) provides users with a queryable knowledgebase and user interface to aid systematic target identification and prioritisation for drug discovery based upon underlying evidence. It is publicly available and the underlying code is open source. Since our last update two years ago, we have had 10 releases to maintain and continuously improve evidence for target-disease relationships from 20 different data sources. In addition, we have integrated new evidence from key datasets, including prioritised targets identified from genome-wide CRISPR knockout screens in 300 cancer models (Project Score), and GWAS/UK BioBank statistical genetic analysis evidence from the Open Targets Genetics Portal. We have evolved our evidence scoring framework to improve target identification. To aid the prioritisation of targets and inform on the potential impact of modulating a given target, we have added evaluation of post-marketing adverse drug reactions and new curated information on target tractability and safety. We have also developed the user interface and backend technologies to improve performance and usability. In this article, we describe the latest enhancements to the Platform, to address the fundamental challenge that developing effective and safe drugs is difficult and expensive.


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