Computational Structural Biology; Drug Design; Peptidomimetic Design; Structure-based Modeling and Design; Protein/Peptide Self-assemblies in Neurodegenerative Disorders.
Jiang started his journey in science when he went to Peking University, where he earned a B.S. degree in Chemistry and a M.S. degree in Physical Chemistry with Distinction. He did research in protein interactions with Luhua Lai at Peking University and found his passions toward structure-based protein modeling and drug design research. He then went to the University of Washington for Ph.D in Biochemical Science. There he worked on enzyme design in the laboratory of David Baker, using computational and experimental methods to engineer protein catalysts for those chemical transformations that naturally occurring enzymes cannot catalyze. After completing his Ph.D work, he pursued postdoctoral training with David Eisenberg at UCLA, applying his computational methods to develop new therapeutics for protein aggregation diseases. He joined the UCLA faculty in 2015 and is currently an Assistant Professor in Residence of Neurology.
Computational structural biology and drug design for Alzheimer's, Parkinson's, Lou Gehrig's disease and other degenerative disorders. Current research is driven by two key questions: How do unfolded or misfolded proteins self-associate into abnormal aggregates? How do these aggregates propagate and lead to disease? The findings of the research will identify new drug targets, develop new therapeutics and design new therapeutic compounds or peptides for the treatment of neurodegenerative disorders.