Donghan Lee's Group

Professor Donghan Lee is a prominent researcher specializing in Biomolecular NMR Spectroscopy, focusing on the structural dynamics of proteins related to cancer and neurodegeneration. A key frontier of we current research is the integration of Artificial Intelligence to overcome the classical limits of structural biology.

• AI-Enhanced NMR Methodology: Our group develops Deep Learning algorithms to automate and refine the analysis of complex NMR signals. This includes using neural networks for the robust processing of time-domain data, which significantly improves the detection of "invisible" protein states that are often obscured by noise.

• Deep Learning for Protein Dynamics: By combining AI with traditional relaxation dispersion data, he aims to predict the conformational ensembles of intrinsically disordered proteins (IDPs) like p53 more accurately than conventional computational models.

• Structure-Based AI Drug Discovery: Utilizing AI-driven virtual screening alongside NMR-based verification, our group accelerates the discovery of small-molecule inhibitors for therapeutic targets such as BLVRB and PTP4A3, bridging the gap between digital prediction and experimental reality.