Conf Proc IEEE Eng Med Biol Soc 2010 ;2010:3261-4
University of Michigan Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA.
The complexity of biological systems is often prohibitive in testing specific hypotheses from first physical principles. To circumvent these limitations we used biological data to inform a mathematical model of breast cancer cell motility. Using this in silico model we were able to accurately assess the influence of actin cytoskeletal architecture on the motility of a genetically modified breast cancer cell line. Furthermore, using the in silico model revealed a biological phenomenon that has not been previously described in live cell movement. Fusing biology and mathematics as presented here represents a new direction for biomedical research in which advances in each field synergistically drive discoveries in the other.