Huiling Zhang

AlloPED predicts allosteric sites using protein language models and machine learning, achieving high accuracy on benchmark datasets.

RevGraphVAMP improves protein simulation analysis by combining graph neural networks and physical constraints, achieving higher accuracy in dimensionality reduction and state transition prediction.

This paper develops a machine learning model to identify iPS progenitor cells using microscopic image analysis, achieving over 52% precision in detecting these rare cells during early reprogramming.