OptADMET: a web-based tool for substructure modifications to improve ADMET properties of lead compounds.

Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101284307 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1750-2799 (Electronic) Linking ISSN: 17502799 NLM ISO Abbreviation: Nat Protoc Subsets: MEDLINE

Original Publication: London, UK : Nature Pub. Group, 2006-

Drug Discovery* ; Internet*; Databases, Factual

Lead optimization is a crucial step in the drug discovery process, which aims to design potential drug candidates from biologically active hits. During lead optimization, active hits undergo modifications to improve their absorption, distribution, metabolism, excretion and toxicity (ADMET) profiles. Medicinal chemists face key questions regarding which compound(s) should be synthesized next and how to balance multiple ADMET properties. Reliable transformation rules from multiple experimental analyses are critical to improve this decision-making process. We developed OptADMET ( https://cadd.nscc-tj.cn/deploy/optadmet/ ), an integrated web-based platform that provides chemical transformation rules for 32 ADMET properties and leverages prior experimental data for lead optimization. The multiproperty transformation rule database contains a total of 41,779 validated transformation rules generated from the analysis of 177,191 reliable experimental datasets. Additionally, 146,450 rules were generated by analyzing 239,194 molecular data predictions. OptADMET provides the ADMET profiles of all optimized molecules from the queried molecule and enables the prediction of desirable substructure transformations and subsequent validation of drug candidates. OptADMET is based on matched molecular pairs analysis derived from synthetic chemistry, thus providing improved practicality over other methods. OptADMET is designed for use by both experimental and computational scientists.
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22173118 National Natural Science Foundation of China (National Science Foundation of China)

Date Created: 20240124 Date Completed: 20240412 Latest Revision: 20240412

20240412

10.1038/s41596-023-00942-4

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