Identification of New GSK3β Inhibitors through a Consensus Machine Learning-Based Virtual Screening.

ABSTRACT: Glycogen synthase kinase-3 beta (GSK3β) is a serine/threonine kinase that plays key roles in glycogen metabolism, Wnt/β-catenin signaling cascade, synaptic modulation, and multiple autophagy-related signaling pathways. GSK3β is an attractive target for drug discovery since its aberrant activity is involved in the development of neurodegenerative diseases such as Alzheimer's and Parkinson's disease. In the present study, multiple machine learning models aimed at identifying novel GSK3β inhibitors were developed and evaluated for their predictive reliability. The most powerful models were combined in a consensus approach, which was used to screen about 2 million commercial compounds. Our consensus machine learning-based virtual screening led to the identification of compounds G1 and <

SUBMITTER: Galati S 

PROVIDER: S-EPMC10743990 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature