Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/11161
Title: Communication of Signals and Responses Leading to Cell Survival Cell Death Using Engineered Regulatory Networks
Researcher: Jain, Shruti
Guide(s): Naik, Pradeep Kumar; Bhooshan, Sunil Vidya
Keywords: CMOS
Fuzzy Logic
VLSI
Upload Date: 13-Sep-2013
University: Jaypee University of Information Technology, Solan
Completed Date: 12/05/2012
Abstract: Biological systems can create complex structures from very simple systems. To do this, there must be a method to differentiate different regions where identical systems create different structures, such as the abdomen and the head of a fruit fly. This thesis highlights an emerging field known as Synthetic Biology that envisions integrating designed circuits into living organisms in order to instruct them to make logical decisions based on the prevailing intracellular and extra cellular conditions and produce a reliable behavior. Synthetic Biology attempts to construct and assemble such modules gradually, plug the modules together and modify them, in order to generate a desired behavior. Using biological circuit, we can produce a new concentration gradient that has twice the frequency. If 1 is represented by a concentration of the chemical within the threshold, and a 0 is represented by a concentration outside the threshold, then we can represent any two digit binary number. Thus, we can differentiate separate regions at certain distances away from a point source. Logic gates are the basic building blocks in electronic circuits that perform logical operations. These have input and output signals in the form of 0 s and 1 s; 0 signifies the absence of signal while 1 signifies its presence. newlineThe study focuses on system implementation of a signals and responses triggered by Tumor Necrosis Factor- and#945; (TNF-and#945;), Epidermal Growth Factor (EGF) and Insulin factors leading to cell survival/ apoptosis. The computational techniques that have been used are: VHDL (Xilinx Tool), CMOS and BiCMOS (SPICE Tool), and Fuzzy Logic (MATLAB Tool), Non Linear Model (Artificial Neural Networks) and Deterministic Model taking three input signals. In future we are also trying to develop bio-simulator that can be used for prediction of status of the cell leading to cell survival/ apoptosis giving chemotherapy and radiotherapy treatment. newline
Pagination: 
URI: http://hdl.handle.net/10603/11161
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdfAttached File86.09 kBAdobe PDFView/Open
02_certificate.pdf167.38 kBAdobe PDFView/Open
03_acknowledgement.pdf132.36 kBAdobe PDFView/Open
04_contents.pdf228.88 kBAdobe PDFView/Open
05_list of tables figures.pdf425.28 kBAdobe PDFView/Open
06_chapter 1.pdf6.3 MBAdobe PDFView/Open
07_chapter 2.pdf8.99 MBAdobe PDFView/Open
08_chapter 3.pdf3 MBAdobe PDFView/Open
09_conclusion.pdf169.62 kBAdobe PDFView/Open
10_bibliography.pdf1.04 MBAdobe PDFView/Open
11_list of publications.pdf202.67 kBAdobe PDFView/Open


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