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Center for Nonlinear Studies |
A multilevel comprehension of molecular interactions is necessary to understand biological complexity; the genome mapping of many organisms has provided a large dictionary of cellular components, but not a full knowledge of how these elements function, interact, and in turn, create a self-sustaining system. To tackle this complexity, we require multiscale, multidisciplinary approaches, covering several temporal and spatial scales. In this talk, I will present my research aimed at understanding biological systems on several levels: sequence, structure, and network. I will give specific examples on protein structure prediction, single protein dynamics, protein-protein binding site predictions, and the organizational characteristics of protein-protein interaction networks. These structural and dynamical analyses of biological systems will lead to an enhanced understanding of cellular machinery.
Host: Michael Wall