Journal article
ToxCSM: Comprehensive prediction of small molecule toxicity profiles
AGC De Sá, Y Long, S Portelli, DEV Pires, DB Ascher
Briefings in Bioinformatics | OXFORD UNIV PRESS | Published : 2022
DOI: 10.1093/bib/bbac337
Abstract
Drug discovery is a lengthy, costly and high-risk endeavour that is further convoluted by high attrition rates in later development stages. Toxicity has been one of the main causes of failure during clinical trials, increasing drug development time and costs. To facilitate early identification and optimisation of toxicity profiles, several computational tools emerged aiming at improving success rates by timely pre-screening drug candidates. Despite these efforts, there is an increasing demand for platforms capable of assessing both environmental as well as human-based toxicity properties at large scale. Here, we present toxCSM, a comprehensive computational platform for the study and optimis..
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Awarded by National Health and Medical Research Council
Funding Acknowledgements
Joe White Bequest Fellowship (to A.G.C.S.); Investigator Grant from the National Health and Medical Research Council of Australia (GNT1174405); Victorian Government's Operational Infrastructure Support Program (inpart).