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Guanyu Wang gwang@gwu.edu 202-994-6482
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Computational Biophysics
Network Modeling and Analysis Hypoxia Response Network Cell Cycle network 2. Computational Immunology T cell competition and Immunodominance HIV dynamics
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Hypoxia Response Network
Collaborated with Drs. Zeng, Simha, Peng, Turano FBA Pathway switching explains HIF sharp response FBA allows analytical solution of the network, instead of time consuming simulation
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Cell Cycle Network Collaborated with Drs. Zeng, Simha
Network of 11 nodes Network of 211 states Figures cited from Li. PNAS 101:4781, 2004 A parameter to quantify robustness Study how robustness is affected by degradation
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T Cell Activation, Competition & Immunodominance
Collaborated with Yewdell (NIH) and Zeng Different TCRs compete for antigen and APC spaces Dramatic kinetic diversity during T cell activation (different stages have different binding kinetics)
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T Cell Activation, Competition & Immunodominance
Collaborated with Yewdell (NIH) and Zeng koff kon Maturity structured modeling
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HIV dynamics data simulation
Clinical data are from Pantaleo et al., N. Eng. J. Med., 328:327, 1993.
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