Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates

In the process of engineering a genetic circuit, modeling is the key step between design and fabrication. It helps to save time and resources by optimizing and predicting the behaviour of the synthetic circuit before actual construction. Of the many computational approaches available, the ODE modeli...

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Main Author: Au-Yeung, Benjamin Shang Yong
Other Authors: Poh Chueh Loo
Format: Final Year Project
Language:English
Published: 2015
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Online Access:http://hdl.handle.net/10356/63144
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-631442023-03-03T15:34:02Z Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates Au-Yeung, Benjamin Shang Yong Poh Chueh Loo School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering In the process of engineering a genetic circuit, modeling is the key step between design and fabrication. It helps to save time and resources by optimizing and predicting the behaviour of the synthetic circuit before actual construction. Of the many computational approaches available, the ODE modeling method was chosen for its simplicity and accuracy. In this project, a proposed ODE modeling approach was used to construct gene regulatory network models for the genetic circuits. The modeling process involves several steps; derivation of ODEs, retrieval of parameters, translation into Simulink block diagrams, simulation of model, validation of results, and optimization of model. The genetic circuits modelled were a sensing device for quorum sensing and three logic gates: NOT, AND, NAND. For all the genetic circuits, the proposed modeling approach gave results that match the patterns of experiments but not the exact output values. The models were generally inaccurate and incapable of reflecting any component changes in the genetic circuit. On the contrary, the AND gate model successfully predicted experimental results and was demonstrated to be modular by connecting the output to a NOT gate module to produce a combinatorial NAND gate. The modeling approach also uncovered a practical application of the AND gate as a biological comparator and even as an indication sensor. Although the proposed approach is not able to construct accurate models, these results suggest that its predictive nature can be used to uncover trends and practical uses for genetic circuits and devices. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2015-05-06T08:46:29Z 2015-05-06T08:46:29Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63144 en Nanyang Technological University 91 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Au-Yeung, Benjamin Shang Yong
Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates
description In the process of engineering a genetic circuit, modeling is the key step between design and fabrication. It helps to save time and resources by optimizing and predicting the behaviour of the synthetic circuit before actual construction. Of the many computational approaches available, the ODE modeling method was chosen for its simplicity and accuracy. In this project, a proposed ODE modeling approach was used to construct gene regulatory network models for the genetic circuits. The modeling process involves several steps; derivation of ODEs, retrieval of parameters, translation into Simulink block diagrams, simulation of model, validation of results, and optimization of model. The genetic circuits modelled were a sensing device for quorum sensing and three logic gates: NOT, AND, NAND. For all the genetic circuits, the proposed modeling approach gave results that match the patterns of experiments but not the exact output values. The models were generally inaccurate and incapable of reflecting any component changes in the genetic circuit. On the contrary, the AND gate model successfully predicted experimental results and was demonstrated to be modular by connecting the output to a NOT gate module to produce a combinatorial NAND gate. The modeling approach also uncovered a practical application of the AND gate as a biological comparator and even as an indication sensor. Although the proposed approach is not able to construct accurate models, these results suggest that its predictive nature can be used to uncover trends and practical uses for genetic circuits and devices.
author2 Poh Chueh Loo
author_facet Poh Chueh Loo
Au-Yeung, Benjamin Shang Yong
format Final Year Project
author Au-Yeung, Benjamin Shang Yong
author_sort Au-Yeung, Benjamin Shang Yong
title Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates
title_short Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates
title_full Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates
title_fullStr Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates
title_full_unstemmed Synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates
title_sort synthetic biology : modeling genetic circuits of quorum sensing system and biological logic gates
publishDate 2015
url http://hdl.handle.net/10356/63144
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