| Literature DB >> 33196847 |
David Ochoa1,2, Andrew Hercules1,2, Miguel Carmona1,2, Daniel Suveges1,2, Asier Gonzalez-Uriarte1,2, Cinzia Malangone1,2, Alfredo Miranda1,2, Luca Fumis1,2, Denise Carvalho-Silva1,2, Michaela Spitzer1,2, Jarrod Baker1,2, Javier Ferrer1,2, Arwa Raies1,2, Olesya Razuvayevskaya1,2, Adam Faulconbridge1,2, Eirini Petsalaki1,2, Prudence Mutowo2,3, Sandra Machlitt-Northen2,3, Gareth Peat1,2, Elaine McAuley1,2, Chuang Kee Ong1,2, Edward Mountjoy2,4, Maya Ghoussaini2,4, Andrea Pierleoni1,2, Eliseo Papa2,5, Miguel Pignatelli1,2, Gautier Koscielny2,3, Mohd Karim2,4, Jeremy Schwartzentruber2,4, David G Hulcoop2,3, Ian Dunham1,2,4, Ellen M McDonagh1,2.
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.Entities:
Year: 2021 PMID: 33196847 PMCID: PMC7779013 DOI: 10.1093/nar/gkaa1027
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971