UCLA Bioinformatics Program

Speaker: Debopriya Das, Director, Predictive Marker Development, Lawrence Berkeley National Lab

When: Mon, May 12, 2008

Where: CNSI Auditorium

Abstract:
Cells integrate external signals and generate emergent responses via genetic networks. Deciphering these mechanisms is a central problem in systems biology. It is also critical to development of targeted therapies. Predictive modeling of these multi-scale features remains difficult, however. This is especially true in mammals. Switch-like behavior is pervasive among biochemical responses. We have established a computational framework based on these principles. Recent studies indicate that these approaches can be used to model certain biomedical processes across multiple scales — from DNA mediated gene regulation to physiological responses to clinical medicine. In this seminar, I will discuss these applications in humans.

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