Xiao-An Li

Machine learning–driven identification of PIM2 kinase inhibitors through QSAR modeling and molecular dynamics simulations

An integrated machine learning–guided computational pipeline was developed to identify potential PIM2 inhibitors by combining quantitative structure–activity relationship (QSAR) modeling, virtual screening, molecular docking, molecular dynamics simulations, and pharmacokinetic prediction, highlighting the potential of the identified molecules as promising molecules.