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dc.contributor.authorJain, Shruti-
dc.contributor.authorNaik, Pradeep K.-
dc.contributor.authorSharma, Rohit-
dc.date.accessioned2022-07-22T06:05:52Z-
dc.date.available2022-07-22T06:05:52Z-
dc.date.issued2009-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui//xmlui/handle/123456789/5000-
dc.descriptionDigest Journal of Nanomaterials and Biostructures Vol. 4, No. 4, December 2009, p. 863 – 879en_US
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 Very High Speed Integrated Circuit Hardware Description Language (VHDL) (Xilinx Tool) and MATLAB simulator.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.subjectVHDLen_US
dc.subjectMATLABen_US
dc.titleA Computational Model for Cell Survival Death Using VHDL and MATLAB Simulatoren_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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