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Computational Modeling of Cell Survival/ Death Using MATLAB Simulator

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4 Author(s)
Jain, S. ; Dept. of Electron. & Commun. Eng., Jaypee Univ. of Inf. Technol., Solan ; Naik, P.K. ; Chauhan, D.S. ; Sharma, R.

Cell growth and cell division are fundamental aspects of cell behavior in all organisms. Recent insights from many model organisms have shed light on the molecular mechanisms that control cell growth and cell division. A significant body of evidence has now been accumulated, showing a direct link between deregulation of components of cell cycle machinery and cancer. Cancer can be described as a genetic disease. Three types of genes are affected: tumour-suppressor genes, oncogenes and stability genes. p53 functions as a dasiagatekeeperpsila inducing cell-cycle arrest or programmed cell death (apoptosis). Knowledge of the molecular basis of cancer has already had a profound impact on the management of paediatric tumours and promises to continue to contribute significantly in the future. The model for cell survival and death has been implemented using MATLAB taking three input signals: tumor necrosis factor-alpha (TNF), Epidermal growth factor (EGF) and Insulin.

Published in:

Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on

Date of Conference:

27-29 April 2009