In Silico ADMET Profiling and Drug-Likeness Evaluation of Novel Thiopyrano[2,3-<i>d</i>]thiazole Derivatives as Potential Anticonvulsants

The development of novel antiepileptic agents requires early identification of pharmacokinetic limitations to mitigate risks at later stages. This study aimed to perform in silico profiling of a library containing 448 novel 2<i>H</i>,5<i>H</i>-chromeno[4’,3’:4,5]thiopyrano[2,3-<i>d</i>]thiazol-2-one...

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Auteurs principaux:	Maryna Stasevych, Mykhailo Hoidyk, Viktor Zvarych, Andriy Karkhut, Svyatoslav Polovkovych, Roman Lesyk
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-04-01
Collection:	Scientia Pharmaceutica
Sujets:	<i>ADMET-AI</i> platform in silico 2<i>H</i>,5<i>H</i>-chromeno[4’,3’:4,5]thiopyrano[2,3-<i>d</i>]thiazol-2-ones physicochemical properties prediction pharmacokinetics prediction toxicity prediction
Accès en ligne:	https://www.mdpi.com/2218-0532/94/2/30
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