- APS March 2024 Invited Symposium “Harnessing the Power of Machine Learning in Studying Biomolecular Dynamics“
- BPS Virtual Event 2022 “Stochastic Dynamics and Physics of Protein-DNA Interaction“
- We performed simulations via COVID-19 HPC Consortium,2020-2021
Bio-molecular machines are reminiscent of life’s fundamental delicacies in molecular design. They are made by nano- to micrometer scale protein complexes with cyclic functional cycles of mechano-chemistry, being able to achieve comparatively high energy efficiency and accuracy, and balance well between functions and constraints in cellular environment and under evolution. Our researches have focused on revealing physical mechanisms underlying some of these protein-nucleic acid complexes and machinery.
By utilizing computational biophysics approaches, including a spectrum of molecular modeling and simulation techniques, statistical mechanics, and stochastic methods, we aim at providing insights that would help us to better understand physics of living systems at microscopic scale, and also enabling artificial redesign of biomolecular systems for a variety of purposes in bio-medical researches.