Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5989
Title: Computational Modeling of Cell Survival/Death Using BiCMOS
Authors: Jain, Shruti
Naik, Pradeep K.
Bhooshan, Sunil V.
Keywords: Tumor Necrosis Factor-α
Epidermal Growth Factor
Insulin
BiCMOS
Issue Date: 2010
Publisher: Jaypee University of Information Technology, Solan, H.P.
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.
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5989
Appears in Collections:Journal Articles

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