Minie, Mark and Chopra, Gaurav and Sethi, Geetika and Horst, Jeremy and White, George and Roy, Ambrish and Hatti, Kaushik and Samudrala, Ram (2014) CANDO and the infinite drug discovery frontier. In: DRUG DISCOVERY TODAY, 19 (9). pp. 1353-1363.
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Abstract
The Computational Analysis of Novel Drug Opportunities (CANDO) platform (http://protinfo.org/cando) uses similarity of compound-proteome interaction signatures to infer homology of compound/drug behavior. We constructed interaction signatures for 3733 human ingestible compounds covering 48,278 protein structures mapping to 2030 indications based on basic science methodologies to predict and analyze protein structure, function, and interactions developed by us and others. Our signature comparison and ranking approach yielded benchmarking accuracies of 12-25% for 1439 indications with at least two approved compounds. We prospectively validated 49/82 `high value' predictions from nine studies covering seven indications, with comparable or better activity to existing drugs, which serve as novel repurposed therapeutics. Our approach may be generalized to compounds beyond those approved by the FDA, and can also consider mutations in protein structures to enable personalization. Our platform provides a holistic multiscale modeling framework of complex atomic, molecular, and physiological systems with broader applications in medicine and engineering.
Item Type: | Journal Article |
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Publication: | DRUG DISCOVERY TODAY |
Publisher: | ELSEVIER SCI LTD |
Additional Information: | Copy right for this article belongs to the ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND. |
Department/Centre: | Division of Biological Sciences > Molecular Biophysics Unit |
Date Deposited: | 08 Nov 2014 05:31 |
Last Modified: | 08 Nov 2014 05:31 |
URI: | http://eprints.iisc.ac.in/id/eprint/50204 |
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