Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5989
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dc.contributor.authorJain, Shruti-
dc.contributor.authorNaik, Pradeep K.-
dc.contributor.authorBhooshan, Sunil V.-
dc.date.accessioned2022-08-26T09:14:54Z-
dc.date.available2022-08-26T09:14:54Z-
dc.date.issued2010-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5989-
dc.description.abstractA 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.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectTumor Necrosis Factor-αen_US
dc.subjectEpidermal Growth Factoren_US
dc.subjectInsulinen_US
dc.subjectBiCMOSen_US
dc.titleComputational Modeling of Cell Survival/Death Using BiCMOSen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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