Center for Computational Life Sciences and Biology
Computational Structural Biology
Our research group is at the forefront of developing a new generation of computational tools that integrate physics, artificial intelligence, and computational biology to transform drug design. We focus on two primary goals: developing mathematically elegant deep learning architectures that incorporate physical principles to model macromolecular structure and function at the genome scale, and applying these approaches to design therapeutic molecules with precise biological properties. By explaining disease mechanisms at the molecular level, our work aims to accelerate the drug discovery process, reduce costs, and unlock new possibilities for targeting complex conditions, particularly difficult-to-treat cancers.
