| Literature DB >> 29594777 |
Douglas E V Pires1, Lisa M Kaminskas2, David B Ascher3,4.
Abstract
A crucial factor for the approval and success of any drug is how it behaves in the body. Many drugs, however, do not reach the market due to poor efficacy or unacceptable side effects. It is therefore important to take these into consideration early in the drug development process, both in the prioritization of potential hits, and optimization of lead compounds. In silico approaches offer a cost and time-effective approach to rapidly screen and optimize pharmacokinetic and toxicity properties. Here we demonstrate the use of the comprehensive analysis system pkCSM, to allow early identification of potential problems, prioritization of hits, and optimization of leads.Entities:
Keywords: ADMET predictions; Computational medicinal chemistry; Drug development; Hit prioritization; Lead optimization; Pharmacokinetics; Toxicity
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Year: 2018 PMID: 29594777 DOI: 10.1007/978-1-4939-7756-7_14
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745