Minghui Li

The paper develops MutaPheno, a model that predicts cancer driver missense mutations using molecular features, achieving strong accuracy and outperforming existing tools.

This study develops and evaluates machine learning models for predicting protein-protein binding affinity using limited data, achieving significant improvements over existing predictors.

PremPRI predicts the effects of single mutations on protein-RNA interactions using a regression model trained on experimental data, achieving high correlation with experimental binding affinity changes.