Discovery of GSK3β Inhibitors through In Silico Prediction-and-Experiment Cycling Strategy, and Biological Evaluation

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Abstract

Direct inhibitors of glycogen synthase kinase 3β (GSK3β) have been investigated and re-ported for the past 20 years. In the search for novel scaffold inhibitors, 3000 compounds were se-lected through structure-based virtual screening (SBVS), and then high-throughput enzyme screening was performed. Among the active hit compounds, pyrazolo [1,5-a]pyrimidin-7-amine derivatives showed strong inhibitory potencies on the GSK3β enzyme and markedly activated Wnt sig-naling. The result of the molecular dynamics (MD) simulation, enhanced by the upper-wall re-straint, was used as an advanced structural query for the SBVS. In this study, strong inhibitors de-signed to inhibit the GSK3β enzyme were discovered through SBVS. Our study provides structural insights into the binding mode of the inhibitors for further lead optimization.

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Lee, Y., Yoon, S. B., Hong, H., Kim, H. Y., Jung, D., Moon, B. S., … Cho, H. (2022). Discovery of GSK3β Inhibitors through In Silico Prediction-and-Experiment Cycling Strategy, and Biological Evaluation. Molecules, 27(12). https://doi.org/10.3390/molecules27123825

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