Genetic circuit modelling for improved synthetic biology design
The advancement of synthetic biology lies heavily on key enabling technologies, one of which is the modeling of the synthetic gene behavior and its expressed protein. We identified the lacked of established model that mimic the correlation between synthetic gene expression and the host growth rate....
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sg-ntu-dr.10356-536932023-03-03T15:38:47Z Genetic circuit modelling for improved synthetic biology design Jeanny Putri Haliman Poh Chueh Loo School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering The advancement of synthetic biology lies heavily on key enabling technologies, one of which is the modeling of the synthetic gene behavior and its expressed protein. We identified the lacked of established model that mimic the correlation between synthetic gene expression and the host growth rate. To fill this information gap, we proposed two models which capable of accurately predict the synthetic circuit behavior at the pre-stationary phase. However, the increasing prominence of feedback system in the stationary phase required us to design more complex models. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2013-06-07T01:10:08Z 2013-06-07T01:10:08Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53693 en Nanyang Technological University 64 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
NTU Library |
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DR-NTU |
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English |
| topic |
DRNTU::Engineering::Bioengineering |
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DRNTU::Engineering::Bioengineering Jeanny Putri Haliman Genetic circuit modelling for improved synthetic biology design |
| description |
The advancement of synthetic biology lies heavily on key enabling technologies, one of which is the modeling of the synthetic gene behavior and its expressed protein. We identified the lacked of established model that mimic the correlation between synthetic gene expression and the host growth rate. To fill this information gap, we proposed two models which capable of accurately predict the synthetic circuit behavior at the pre-stationary phase. However, the increasing prominence of feedback system in the stationary phase required us to design more complex models. |
| author2 |
Poh Chueh Loo |
| author_facet |
Poh Chueh Loo Jeanny Putri Haliman |
| format |
Final Year Project |
| author |
Jeanny Putri Haliman |
| author_sort |
Jeanny Putri Haliman |
| title |
Genetic circuit modelling for improved synthetic biology design |
| title_short |
Genetic circuit modelling for improved synthetic biology design |
| title_full |
Genetic circuit modelling for improved synthetic biology design |
| title_fullStr |
Genetic circuit modelling for improved synthetic biology design |
| title_full_unstemmed |
Genetic circuit modelling for improved synthetic biology design |
| title_sort |
genetic circuit modelling for improved synthetic biology design |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10356/53693 |
| _version_ |
1759856990286249984 |