Regulatory Motifs in Cellular Networks |
| Ravi Iyengar |
| Department of Pharmacology and Biological Chemistry
Mount Sinai School of Medicine |
| The overall research interests of my laboratory is in understanding the systems behavior of mammalian cells. Currently, we are using neurons as a model system. This talk will focus on the modeling approaches that can be used to understand how components within the cells interact with one another to process information and regulate cellular machines. Such information processing leads to co-ordinated regulation of the functioning of cellular machines resulting in phenotypic behavior. I will discuss graph theory approaches that we are using for pseudo-dynamic analyses to identify regulatory motifs and mapping the chemical space within the cell. To analyze regulatory motifs in depth, I will discuss the use of ODE models and their limitations. I will discuss development of spatials models using PDEs to understand functional microdomains and how these can be ued for realistic biochemical simulation of cellular processes. Computational challenges in these areas will be highlighted. |
| RELATED READINGS: |
| Ma’ayan, Robert D. Blitzer, and Ravi Iyengar, "Toward Predictive Models of Mammalian Cells." Annu. Rev. Biophys. Biomol. Struct. 2005. 34:319–49. |
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