Physics and AI- Driven Biomolecular Modeling and Therapeutics
We develop physics-based 2D models to predict RNA structure and folding thermodynamics from the sequence.
We develop computational tools to predict all-atom 3D structures of RNA from the sequence.
We conduct RNA-ligand docking researches which can be crucial in selecting small molecules as drug candidates.
We develop mechanistic models to investigate CRISPR-Cas9 gene editing.
We use deep learning methods to predict RNA-metal ion interactions