Welcome to the Huang Research Group!
The main goal of our lab is to understand and manipulate biomolecular dynamics by developing and applying novel statistical mechanics based methods that can bridge the gap between experiments and simulations.
Examples of our interested research areas include elucidation of functional conformational changes in gene transcription, elucidation of molecular recognition and self-assembly, development of Markov State Model and Generalized Master Equation model for biomolecular dynamics, development of Integral Equation theories for solvation, and development of deep learning methods to predict protein-ligand and protein-RNA interactions.
Group News!
Sept 2023
Our collaborative research with Prof. Jiaoyang Jiang and Prof. Lingjun Li in School of Pharmacy at UW-Madison has been funded by a new $1.65 million NIH R01 grant (PI: Jiang)! Congratulations! We look forward to …
Sept 2023
Our collaborative research with Prof. Yongna Xing in the Oncology Department at UW-Madison has been funded by a new $1.45 million NIH R01 grant (PI: Xing)! Congratulations! We look forward to exciting collaborations on allostery …
June 2023
Our group has been awarded a $1.74 million R01 grant from NIGMS to develop non-Markovian dynamic models for studying RNA polymerase dynamics! Our group’s first major funding since our transition from Hong Kong! Thanks to …
June 2023
We’ve combined simulation and experiment to reveal how disease mutations disrupt the normal auto-inhibition of protein phosphatase 2A (PP2A) by redistributing its allosteric pathways. This is a joint work with Yongna Xing’s group and has …
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