Modeling molecular communications at NANO-SCALE with applications in medicine and microbiology

Summary form only given. Many biological processes that happen at the cellular level can be considered as information transfer, which is the area of telecommunications research. Examples: Gene delivery, targeted drug delivery, viral infections, cell metabolic processes, etc. Developing an accurate but simple simulation model 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.). We propose to use a telecommunications 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.