The current research theme in the lab is "Transcending Therapeutic Design." By developing generative AI models based on the laws of atomic interaction in nature, combined with experimental characterization of complex molecular mechanisms in dynamic cellular processes, the group innovates the next generation therapeutics to address unmet medical needs. Focused therapeutic areas include the modulation of neuroinflammation, immunotherapy, and the specific delivery of drugs to the central or peripheral nervous system.
Postdoctoral positions are available in the lab. If you are interested, please contact James Chou at james_chou@mail.sioc.ac.cn
AI-Driven Drug Design and Discovery
We develop generative AI models grounded in the fundamental laws of atomic interactions to enable rational design of proteins, antibodies, and small molecules. By integrating structural biology and biophysical data, this platform accelerates the discovery of next-generation therapeutics with enhanced specificity and efficacy. The approach bridges computation and experiment to uncover new chemical and biological spaces.
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Transmembrane Signaling
We have developed effective biophysical and biochemical approaches for investigating the dynamic clustering of transmembrane and membrane-proximal regions of single-pass membrane proteins and used these methods to investigate receptors from the tumor necrosis factor (TNF) receptor superfamily and the common g-chain family of interleukin receptors.
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Research Methods
We will employ a combination of NMR spectroscopy, cryo-EM, TIRF microscopy, and computational approaches to unravel all aspects of receptor sensing and responding, with greater emphasis on the non-canonical, ligand-independent mechanisms.
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