John Overington
Affiliations: | European Bioinformatics Institute, Hinxton, England, United Kingdom |
Area:
Drug Discovery InformaticsGoogle:
"John Overington"Children
Sign in to add traineeBen Stauch | grad student | 2008-2012 | Cambridge |
Felix Krueger | grad student | 2009-2013 | Cambridge |
Rita Santos | grad student | 2010-2014 | Cambridge |
Gerard JP van Westen | post-doc | 2012-2015 | EMBL-EBI (Chemistry Tree) |
Andrew L. Hopkins | research scientist | 1998-2000 | Pfizer, Kent, UK |
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Publications
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Dougan G, Dowson C, Overington J, et al. (2018) Meeting the discovery challenge of drug-resistant infections: progress and focusing resources. Drug Discovery Today |
Tang J, Tanoli ZU, Ravikumar B, et al. (2017) Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions. Cell Chemical Biology |
Tresadern G, Trabanco AA, Pérez-Benito L, et al. (2017) Identification of Allosteric Modulators of Metabotropic Glutamate 7 Receptor Using Proteochemometric Modeling. Journal of Chemical Information and Modeling |
Mugumbate G, Mendes V, Blaszczyk M, et al. (2017) Target Identification of Mycobacterium tuberculosis Phenotypic Hits Using a Concerted Chemogenomic, Biophysical, and Structural Approach. Frontiers in Pharmacology. 8: 681 |
Finan C, Gaulton A, Kruger FA, et al. (2017) The druggable genome and support for target identification and validation in drug development. Science Translational Medicine. 9 |
Santos R, Ursu O, Gaulton A, et al. (2016) A comprehensive map of molecular drug targets. Nature Reviews. Drug Discovery |
Gaulton A, Hersey A, Nowotka M, et al. (2016) The ChEMBL database in 2017. Nucleic Acids Research |
Mutowo P, Bento AP, Dedman N, et al. (2016) A drug target slim: using gene ontology and gene ontology annotations to navigate protein-ligand target space in ChEMBL. Journal of Biomedical Semantics. 7: 59 |
Bajorath J, Overington J, Jenkins JL, et al. (2016) Drug discovery and development in the era of Big Data. Future Medicinal Chemistry |
Alvaro N, Conway M, Doan S, et al. (2015) Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use. Journal of Biomedical Informatics |