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Data-Driven Drug Discovery and Molecular Informatics

Chad Allen

Publications

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen.
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, J Kang, M Jeon, R Wolfinger, T Nguyen, M Zaslavskiy, AstraZeneca-Sanger Drug Combination DREAM Consortium, IS Jang, Z Ghazoui, ME Ahsen, R Vogel, EC Neto, T Norman, EKY Tang, MJ Garnett, GYD Veroli, S Fawell, G Stolovitzky, J Guinney, JR Dry, J Saez-Rodriguez
– Nature communications
(2019)
10,
2674
(doi: 10.1038/s41467-019-09799-2)
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity.
CHG Allen, LH Mervin, SY Mahmoud, A Bender
– J Cheminform
(2019)
11,
36
(doi: 10.1186/s13321-019-0356-5)
Improving the prediction of organism-level toxicity through integration of chemical, protein target and cytotoxicity qHTS data.
CHG Allen, A Koutsoukas, I Cortés-Ciriano, DS Murrell, TE Malliavin, RC Glen, A Bender
– Toxicology Research
(2016)
5,
883
(doi: 10.1039/c5tx00406c)
International chemical identifier for reactions (RInChI)
G Grethe, JM Goodman, CH Allen
– Journal of Cheminformatics
(2013)
5,
45
(doi: 10.1186/1758-2946-5-45)

Research Interests

Study at Cambridge

About the University

Research at Cambridge