Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5990
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dc.contributor.authorJain, Shruti-
dc.contributor.authorNaik, Pradeep K.-
dc.contributor.authorBhooshan, Sunil V.-
dc.date.accessioned2022-08-26T09:17:00Z-
dc.date.available2022-08-26T09:17:00Z-
dc.date.issued2010-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/5990-
dc.description.abstractThe model for cell survival has been implemented using Very High Speed Integrated Circuit Hardware Description Language (VHDL) (Xilinx Tool) taking three input signals: Tumor necrosis factor-α (TNF), Epidermal growth factor (EGF) and Insulin. Cell survival has been regulated by the interaction of five proteins viz P13K, TNFR1, EGFR, IRS and IKK in a network. In the absence of any one, in protein network leads to cell death. For the EGF input signal the proteins like MEK, ERK, AkT, Rac & JNK have been important for regulation of cell survival. Similarly for TNF and Insulin input signal proteins like NFκB, AkT, XIAP, JNK, MAP3K & MK2 and MEK, ERK, AkT, Rac, mTOR & JNK respectively have been important for regulation of cell survival.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.subjectAkT (PKB)en_US
dc.titleComputational Modeling of Cell Survival Using VHDLen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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