Could advances in representation learning in Artificial Intelligence provide the new paradigm for data integration in drug discovery?
Author:
Affiliation:
1. Computational Biology, GlaxoSmithKline R&D, Collegeville, PA, USA
Funder
GlaxoSmithKline
Publisher
Informa UK Limited
Subject
Drug Discovery
Link
https://www.tandfonline.com/doi/pdf/10.1080/17460441.2019.1573811
Reference18 articles.
1. Data integration: challenges for drug discovery
2. NCBI GEO: archive for functional genomics data sets—update
3. UniProt: the universal protein knowledgebase
4. ZINC 15 – Ligand Discovery for Everyone
5. Pharos: Collating protein information to shed light on the druggable genome
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