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Computational Biophysics

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Presentation on theme: "Computational Biophysics"— Presentation transcript:

1 Guanyu Wang gwang@gwu.edu 202-994-6482

2 Computational Biophysics
Network Modeling and Analysis Hypoxia Response Network Cell Cycle network 2. Computational Immunology T cell competition and Immunodominance HIV dynamics

3 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

4 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

5 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)

6 T Cell Activation, Competition & Immunodominance
Collaborated with Yewdell (NIH) and Zeng koff kon Maturity structured modeling

7 HIV dynamics data simulation
Clinical data are from Pantaleo et al., N. Eng. J. Med., 328:327, 1993.


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