Mu, Yuguang

Assoc. Prof. Mu Yuguang is an Associate Professor in the School of Biological Sciences at Nanyang Technological University. His research focuses on AI drug discovery, virtual screening, and molecular dynamics simulations, with an emphasis on applying machine learning to predict protein-ligand interactions and design novel drug targets. Mu's work also involves the use of scRNAseq data to identify potential therapeutic targets. His research group includes several PhD and MSc students, and his contributions have been published in prestigious journals such as Briefings in Bioinformatics and Nature Machine Intelligence.

Yuguang Mu is an Associate Professor of Computer Biology whose research focuses on protein folding and drug discovery. His work integrates computational methods with experimental approaches to understand the molecular mechanisms of protein behavior and their implications in disease. Mu's research includes the development of advanced computational tools for molecular docking and binding affinity prediction, such as QuickVina and OnionNet. His studies explore the structural dynamics of proteins, amyloid formation, and the design of novel therapeutics targeting neurodegenerative diseases like Alzheimer’s. By combining simulations with experimental data, Mu contributes to the understanding of protein-ligand interactions and the development of effective drug candidates.