We are interested in the mathematical/computational modeling and experimental characterization of biomolecular interaction networks to unravel their role in cellular survival, evolution and development. Project #1. We study by experiment and computational modeling the combined effect of gene expression noise and regulatory network topology on cell survival and the evolution during drug treatment. Project #2. We are designing gene constructs to precisely control the non-genetic, stochastic variation of protein expression levels within a cell population. Project #3. We study the response of the large-scale gene regulatory networks of infectious microbes to stress using published microarray data.
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