Simulation study on biochemical logic circuits
Synthetic genetic circuits are artificial networks of transcriptional control elements inserted into living cells in order to ‘program’ cellular behavior. We can extend this application to programming population behavior by incorporating cell-to-cell communications capabilities. This project study a...
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sg-ntu-dr.10356-173292023-07-07T16:56:40Z Simulation study on biochemical logic circuits Mohamad Rizar Bin Tambi. Ma Maode School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits Synthetic genetic circuits are artificial networks of transcriptional control elements inserted into living cells in order to ‘program’ cellular behavior. We can extend this application to programming population behavior by incorporating cell-to-cell communications capabilities. This project study an emerging engineering discipline to program cell behaviors by embedding synthetic gene networks that perform computation, communications, and signal processing. This goal is accomplisehed by, beginning with a genetic component library and a biocircuit design methodology for assembling these components into compound circuits. In this project, instead of electrical signals representing streams of binary ones and zeros, the chemical concentration of specific DNA-binding proteins and inducers molecules act as the input and output signal of the genetic logic gates to be simulate. This project start with the study of research paper by Pofessor Ron Weiss and from there a simulation of Biochemical Inverter is generated using MATLAB. This simulation is done with the seven ordinary differential equation which in turn being convert to fourteen biochemical reaction equation. The inverter equation form the basic for the simulation of other logic gates and digtal circuits that has been generated in this report. Bachelor of Engineering 2009-06-05T08:25:23Z 2009-06-05T08:25:23Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17329 en Nanyang Technological University 84 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits Mohamad Rizar Bin Tambi. Simulation study on biochemical logic circuits |
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Synthetic genetic circuits are artificial networks of transcriptional control elements inserted into living cells in order to ‘program’ cellular behavior. We can extend this application to programming population behavior by incorporating cell-to-cell communications capabilities. This project study an emerging engineering discipline to program cell behaviors by embedding synthetic gene networks that perform computation, communications, and signal processing. This goal is accomplisehed by, beginning with a genetic component library and a biocircuit design methodology for assembling these components into compound circuits.
In this project, instead of electrical signals representing streams of binary ones and zeros, the chemical concentration of specific DNA-binding proteins and inducers molecules act as the input and output signal of the genetic logic gates to be simulate. This project start with the study of research paper by Pofessor Ron Weiss and from there a simulation of Biochemical Inverter is generated using MATLAB. This simulation is done with the seven ordinary differential equation which in turn being convert to fourteen biochemical reaction equation. The inverter equation form the basic for the simulation of other logic gates and digtal circuits that has been generated in this report. |
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Ma Maode |
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Ma Maode Mohamad Rizar Bin Tambi. |
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Final Year Project |
author |
Mohamad Rizar Bin Tambi. |
author_sort |
Mohamad Rizar Bin Tambi. |
title |
Simulation study on biochemical logic circuits |
title_short |
Simulation study on biochemical logic circuits |
title_full |
Simulation study on biochemical logic circuits |
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Simulation study on biochemical logic circuits |
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Simulation study on biochemical logic circuits |
title_sort |
simulation study on biochemical logic circuits |
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2009 |
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http://hdl.handle.net/10356/17329 |
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1772827947026087936 |