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1.
Nucleic Acids Res ; 49(D1): D1302-D1310, 2021 01 08.
Article in English | MEDLINE | ID: mdl-33196847

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.


Subject(s)
Antineoplastic Agents/therapeutic use , Drugs, Investigational/therapeutic use , Knowledge Bases , Molecular Targeted Therapy/methods , Neoplasms/drug therapy , Software , Antineoplastic Agents/chemistry , Databases, Factual , Datasets as Topic , Drug Discovery/methods , Drugs, Investigational/chemistry , Humans , Internet , Neoplasms/classification , Neoplasms/genetics , Neoplasms/pathology
2.
Nucleic Acids Res ; 47(D1): D1056-D1065, 2019 01 08.
Article in English | MEDLINE | ID: mdl-30462303

ABSTRACT

The Open Targets Platform integrates evidence from genetics, genomics, transcriptomics, drugs, animal models and scientific literature to score and rank target-disease associations for drug target identification. The associations are displayed in an intuitive user interface (https://www.targetvalidation.org), and are available through a REST-API (https://api.opentargets.io/v3/platform/docs/swagger-ui) and a bulk download (https://www.targetvalidation.org/downloads/data). In addition to target-disease associations, we also aggregate and display data at the target and disease levels to aid target prioritisation. Since our first publication two years ago, we have made eight releases, added new data sources for target-disease associations, started including causal genetic variants from non genome-wide targeted arrays, added new target and disease annotations, launched new visualisations and improved existing ones and released a new web tool for batch search of up to 200 targets. We have a new URL for the Open Targets Platform REST-API, new REST endpoints and also removed the need for authorisation for API fair use. Here, we present the latest developments of the Open Targets Platform, expanding the evidence and target-disease associations with new and improved data sources, refining data quality, enhancing website usability, and increasing our user base with our training workshops, user support, social media and bioinformatics forum engagement.


Subject(s)
Computational Biology/methods , Databases, Genetic , Genomics/methods , Information Storage and Retrieval/methods , Molecular Targeted Therapy/methods , Computational Biology/trends , Gene Expression Profiling/methods , Genomics/trends , Humans , Information Storage and Retrieval/trends , Internet , Reproducibility of Results , Software
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