Lab Leader: Haicang Zhang

Lab Name: Laboratory of AI Protein Design

Lab Info：Our lab aims to develop advanced AI algorithms for protein design, drug design and protein complex structure prediction. Our long-term goalisto build the unified generative model for both structure prediction and de novo design across multiple biological molecules, including proteins, nucleic acids (DNA/RNA), and small molecules.

The research interests include:

1. Cutting-Edge AI Methodology

Develop next-generation generative models, reinforcement-learning frameworks, and deep geometric learning methods tailored to life science research.

2. AI-Driven Protein Design

Build generative models for de novo design of therapeutic proteins—antibodies/nanobodies, peptides, and mini-proteins.

3. AI-Driven Protein Structure Prediction

Predict conformational ensembles and interaction interfaces by integrating AI models with physics-based models, thereby accelerating molecular docking and virtual screening.

Lab Members: