Minchao Fang

This paper introduces a physics-based generative method for designing ligand-binding proteins and demonstrates its application in creating biosensors for small molecules and metal ions.

This paper introduces IMUSE, a method combining machine learning and ultra-high-throughput screening to explore enzyme spaces, identifying mutations that significantly improve enzyme activity.

This paper extends the HalluDesign framework to nucleic acid design using NA-MPNN, improving confidence scores in ssDNA, ssRNA, and aptamer design.

HalluDesign optimizes and designs proteins using iterative structure hallucination and sequence design, achieving high success rates and structural accuracy in various tasks.