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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Principais autores:	Maryna Stasevych, Mykhailo Hoidyk, Viktor Zvarych, Andriy Karkhut, Svyatoslav Polovkovych, Roman Lesyk
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-04-01
coleção:	Scientia Pharmaceutica
Assuntos:	<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
Acesso em linha:	https://www.mdpi.com/2218-0532/94/2/30
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