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

Authors :
Ellen M. McDonagh
Denise Carvalho-Silva
Jeremy Schwartzentruber
Adam Faulconbridge
Asier Gonzalez-Uriarte
Michaela Spitzer
Ian Dunham
Eliseo Papa
Elaine McAuley
David Ochoa
Luca Fumis
Chuang Kee Ong
Andrea Pierleoni
Daniel Suveges
Jarrod Baker
Andrew Hercules
Gareth Peat
Edward Mountjoy
Eirini Petsalaki
Prudence Mutowo
Miguel Carmona
Gautier Koscielny
Miguel Pignatelli
David G. Hulcoop
Olesya Razuvayevskaya
Sandra Machlitt-Northen
Cinzia Malangone
Javier Ferrer
Mohd Anisul Karim
Maya Ghoussaini
Alfredo Miranda
Arwa Bin Raies
Source :
Nucleic Acids Research
Publication Year :
2020

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.

Details

ISSN :
13624962
Volume :
49
Issue :
D1
Database :
OpenAIRE
Journal :
Nucleic acids research
Accession number :
edsair.doi.dedup.....2664c3a844cec920089d5e95389b51c2