doi: 10.7763/IJCTE.2010.V2.188
Computational Modeling of Cell Survival/Death Using BiCMOS
Shruti Jain2
, ,
- 2Department of Biotechnology & Bioinformatics, Jaypee University of Information Technology, Solan-173215, India.
Abstract
A well-structured and controlled design methodology, along with a supporting hierarchical design system, has been developed to optimally support the development effort on several programs requiring gate array and semi custom Very Large Scale Integration (VLSI) design. In this paper, we will present an application of VLSI in System Biology. This work examines signaling networks that control the survival decision treated with combinations of three primary signals the pro death cytokine, tumor necrosis factor-α (TNF), and the pro survival growth factors, epidermal growth factor (EGF) and insulin. We have made model by taking three inputs, than made the truth table, Boolean equation and than implement the equation using BiCMOS logic circuit.
Keywords
- Tumor Necrosis Factor-α
- Epidermal Growth Factor
- Insulin
- BiCMOS
How to Cite
Shruti Jain, Pradeep K. Naik, and Sunil V. Bhooshan, "Computational Modeling of Cell Survival/Death Using BiCMOS," International Journal of Computer Theory and Engineering, vol. 2, no. 4, pp. 478-481, 2010. https://doi.org/10.7763/IJCTE.2010.V2.188
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).