Congratulations to our Ph.D. student Salvatore Galati for his publication entitled “Identification of New GSK3β Inhibitors through a Consensus Machine Learning-Based Virtual Screening” in the International Journal of Molecular Sciences. The paper presents multiple machine learning models aimed at identifying novel GSK3β inhibitors. The most powerful models were combined and used to screen about 2 million commercial compounds. This machine learning-based virtual screening led to the identification of two new GSK3β inhibitors.
The work is available at the following link: https://www.mdpi.com/1422-0067/24/24/17233#
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