Guisheng Fan

This paper introduces a pre-training framework that combines sequential and geometric encoders to improve protein variant prediction for enhanced bioactivity and thermostability.

The paper introduces Venus-MAXWELL, a framework for predicting protein mutant stability using sequence-to-landscape learning, achieving higher accuracy and faster inference than existing methods.

This study introduces a lightweight graph neural network for protein engineering that predicts fitness and guides the design of effective mutants with improved physicochemical properties.