Docking and structure activity relationship studies of potent and selective thiazolidinethione GSK-3 inhibitors

Glycogen synthase kinase-3 (GSK-3) plays a key role in several biochemical pathways and is an attractive target for pharmacological intervention. We prepared a series of analogs of a highly selective thiazolidinethione inhibitor of GSK-3. The structure-activity relationship indicated a precise structural requirement for potent inhibition. We used docking and bioinformatic analysis to explore the rationale for the potency and selectivity of this class of GSK-3 inhibitors. These computational studies identified residues unique to GSK-3 likely to play a role in ligand-specific induced fit interactions. Together, these studies highlight the structural stringency of specific kinase inhibition that can be achieved for GSK-3.

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Publication Details

Journal
Bioorganic & Medicinal Chemistry Letters
Published
2024-12-16
DOI
https://doi.org/10.1016/j.bmcl.2024.130074
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.36

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Docking and structure activity relationship studies of potent and selective thiazolidinethione GSK-3 inhibitors

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Docking and structure activity relationship studies of potent and selective thiazolidinethione GSK-3 inhibitors

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article en
1 citations

Abstract

Glycogen synthase kinase-3 (GSK-3) plays a key role in several biochemical pathways and is an attractive target for pharmacological intervention. We prepared a series of analogs of a highly selective thiazolidinethione inhibitor of GSK-3. The structure-activity relationship indicated a precise structural requirement for potent inhibition. We used docking and bioinformatic analysis to explore the rationale for the potency and selectivity of this class of GSK-3 inhibitors. These computational studies identified residues unique to GSK-3 likely to play a role in ligand-specific induced fit interactions. Together, these studies highlight the structural stringency of specific kinase inhibition that can be achieved for GSK-3.

Bioorganic & Medicinal Chemistry LettersVol. 117
Ohio University (US)
National Science Foundation, National Institutes of Health
Openalex Percentile: Top 33%
Computational Drug Discovery Methods
0.36
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