Hao Fan is a Senior Principal Investigator at the Bioinformatics Institute (BII) A*STAR, an Adjunct Associate Professor at the Synthetic Biology Translational Research Program, School of Medicine, NUS, and an Adjunct Associate Professor at the Cancer and Stem Cell Biology Program, DUKE-NUS. He received his B.A. from the University of Science and Technology of China (USTC) in Biological Sciences. He obtained his Ph.D. from the University of Groningen (RUG) in Biophysical Chemistry. After PhD study, he did postdoctoral research at the University of California, San Francisco (UCSF). He established his first independent laboratory at the Bioinformatics Institute (BII) A*STAR as Principal Investigator. His research has focused on developing computational methods to study protein-ligand interactions, including protein structure modeling, molecular docking, molecular dynamics simulations, chemoinformatics, and machine/deep learning. The developed methods are used in basic research, to help understand and regulate biological processes, in particular, structure-function mechanisms of GPCRs, transporters, and kinases. Meanwhile, these methods were also employed in applied research, including preclinical drug development, enzyme engineering, and chemical toxicity identification. His laboratory has developed small molecule inhibitors for kinases, beta-catenin, and proteins from human pathogens through collaborations.
Hao Fan is a Senior Principal Investigator at the Bioinformatics Institute (BII) A*STAR, an Adjunct Associate Professor at the Synthetic Biology Translational Research Program, School of Medicine, NUS, and an Adjunct Associate Professor at the Cancer and Stem Cell Biology Program, DUKE-NUS. He received his B.A. from the University of Science and Technology of China (USTC) in Biological Sciences. He obtained his Ph.D. from the University of Groningen (RUG) in Biophysical Chemistry. After PhD study, he did postdoctoral research at the University of California, San Francisco (UCSF). He established his first independent laboratory at the Bioinformatics Institute (BII) A*STAR as Principal Investigator. His research has focused on developing computational methods to study protein-ligand interactions, including protein structure modeling, molecular docking, molecular dynamics simulations, chemoinformatics, and machine/deep learning. The developed methods are used in basic research, to help understand and regulate biological processes, in particular, structure-function mechanisms of GPCRs, transporters, and kinases. Meanwhile, these methods were also employed in applied research, including preclinical drug development, enzyme engineering, and chemical toxicity identification. His laboratory has developed small molecule inhibitors for kinases, beta-catenin, and proteins from human pathogens through collaborations.