Physico-chemically based models are prevalent in the study of molecules and materials, where they are crucial to our understanding of complex phenomena, to the interpretation and design of experiments, and to the design of new or altered structures with desired properties. Mechanistically detailed models of biochemical networks are growing in popularity, where they hold the promise of helping to unravel the complexity of signal transduction pathways, to identify new therapeutic strategies, and to develop approaches to personalized medicine. This talk will discuss similarities and differences between modeling at the level of biomolecules and that of biochemical networks, with implications for synthetic and systems biology and the presentation of recent results.

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