Event Detail

Event Type: 
Department Colloquium
Date/Time: 
Monday, November 9, 2015 - 16:00 to 17:00
Location: 
Kidder 350

Speaker Info

Institution: 
Center for Infectious Disease Research and Institute for Systems Biology, Seattle, WA
Abstract: 

Biological research has been profoundly impacted by the development of high-throughput quantitative measurement technologies. However, mechanistic insights based on data typical of high-throughput technologies remain a significant challenge and bottleneck. Kinetic modeling is a powerful framework for integrating heterogeneous experimental data, quantitative and mechanistic interpreting the behavior of biomolecular systems at multiple time and spatial scales, and generating targeted and experimentally testable hypotheses. To construct multiscale kinetic models with predictive utility, it is important to describe molecular and cellular mechanisms with the appropriate level of detail. Often, the available data are not sufficient to infer the detailed molecular mechanisms underlying a given cellular process. Furthermore, knowledge of molecular mechanisms is often highly non-uniform, varying from the well supported and very detailed to the hypothetical and poorly described. Thus, it is often impossible to describe all of the processes in a model with equal comprehension. To address these problems we propose rational computational approaches for kinetic modeling, mechanistically interpretable approximation and systematic exploration of topological features and parametric space of multiscale dynamical biomolecular systems. In this talk, I will present a current status and future prospects of our recently developed modeling method based on the generalized Hill functions and the generalized time-frequency analysis of dynamical molecular systems. We have already successfully used these methods to discover and systematically explore novel biological regulatory systems in various prokaryotic, archaeal, lower and higher eukaryotic organisms. These studies reveal evolutionary advantages for the discovered regulatory systems, principles of operation, and mechanisms for control, that are relevant to pharmacological and biotechnological intervention and synthetic biology applications.