[Legacy Report] Use of Communication Theory to Model Molecular Signaling

#Technical #Seminar

In order to study biological processes that happen at cellular level, like cell metabolism, viral infections or those processes that involve human interactions with living cells, like cell transfection or targeted drug delivery, accurate, scalable and inexpensive models are necessary. The talk will present an application of standard communication theory techniques to develop such simulation models that can significantly speedup analysis of those processes and reduce expenses associated with laboratory experiments. It can also help in identifying bottlenecks in signaling pathways and facilitate studying cell responses to changes in underlying conditions (e.g. initial concentrations of proteins, changing reaction speeds, etc.). The proposed solution is to use a modeling approach based on queuing theory and stochastic modeling to build simulation models tailored to particular biological/medical application. In the presentation, the fundamental aspects of the modelling as well as some of the developed models will be presented and results of simulations compared with the available experimental data.

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• Canberra, Australian Capital Territory
• Australia

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• Co-sponsored by Salman Durrani