| Literature DB >> 34340747 |
Anush Chiappino-Pepe1, Kiandokht Haddadi1, Homa MohammadiPeyhani1, Jasmin Hafner1, Noushin Hadadi1, Vassily Hatzimanikatis1.
Abstract
The discovery of a drug requires over a decade of intenpan>sive research anpan>d finanpan>cial investmenpan>ts - anpan>d still has a high risk of failure. To reduce this burdenpan>, we developed the NICEdrug.ch resource, which incorporates 250,000 biopan> class="Chemical">active molecules, and studied their enzymatic metabolic targets, fate, and toxicity. NICEdrug.ch includes a unique fingerprint that identifies reactive similarities between drug-drug and drug-metabolite pairs. We validated the application, scope, and performance of NICEdrug.ch over similar methods in the field on golden standard datasets describing drugs and metabolites sharing reactivity, drug toxicities, and drug targets. We use NICEdrug.ch to evaluate inhibition and toxicity by the anticancer drug 5-fluorouracil, and suggest avenues to alleviate its side effects. We propose shikimate 3-phosphate for targeting liver-stage malaria with minimal impact on the human host cell. Finally, NICEdrug.ch suggests over 1300 candidate drugs and food molecules to target COVID-19 and explains their inhibitory mechanism for further experimental screening. The NICEdrug.ch database is accessible online to systematically identify the reactivity of small molecules and druggable enzymes with practical applications in lead discovery and drug repurposing.Entities:
Keywords: E. coli; P. falciparum; computational biology; drug clustering; drug metabolic fate; drug similarity; enzyme inhibition; human; ligand-based drug discovery; medicine; nutraceuticals; systems biology
Year: 2021 PMID: 34340747 PMCID: PMC8331181 DOI: 10.7554/eLife.65543
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140