Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis
Many high-demand industrial products are generated by microorganisms, including fuels, food, vitamins, and other chemicals. Metabolic engineering is the method of circumventing cellular control to manufacture a desirable product or to create a new product that the host cells do not normally need to...
| Main Authors: | , , , , , , , |
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| Format: | Article |
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IGI Global’s
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/34977/ |
| _version_ | 1848824654221803520 |
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| author | Wan, Ting Leong Mohd Saberi, Mohamad Kohbalan, Moorthy Yee, Wen Choon Hasyiya Karimah, Adli Khairul Nizar Syazwan, W. S. W Loo, Keat Wei Nazar, Zaki |
| author_facet | Wan, Ting Leong Mohd Saberi, Mohamad Kohbalan, Moorthy Yee, Wen Choon Hasyiya Karimah, Adli Khairul Nizar Syazwan, W. S. W Loo, Keat Wei Nazar, Zaki |
| author_sort | Wan, Ting Leong |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Many high-demand industrial products are generated by microorganisms, including fuels, food, vitamins, and other chemicals. Metabolic engineering is the method of circumventing cellular control to manufacture a desirable product or to create a new product that the host cells do not normally need to produce. One of the objectives of microorganism metabolic engineering is to maximise the production of a desired product. However, owing to the structure of the regulatory cellular and metabolic network, identifying specific genes to be knocked out is difficult. The development of optimization algorithms often confronts issues such as easily trapping in local maxima and handling multivariate and multimodal functions inefficiently. To predict the gene knockout list that can generate high yields of desired product, a hybrid of firefly algorithm and dynamic flux balance analysis (FADFBA) is proposed. This paper focuses on the ethanol production of Escherichia coli (E. coli). The findings of the experiments include gene lists, ethanol production, growth rate, and the performance of FADFBA.
, Universiti Teknologi Malaysia, Malaysia
, United Arab Emirates University, UAE*
Kohbalan Moorthy, Universiti Malaysia Pahang, Malaysia
, Universiti Malaysia Kelantan, Malaysia
, Universiti Malaysia Kelantan, Malaysia
., Universiti Malaysia Kelantan, Malaysia
, Universiti Tunku Abdul Rahman, Malaysia
, United Arab Emirate University, UAE |
| first_indexed | 2025-11-15T03:16:28Z |
| format | Article |
| id | ump-34977 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| last_indexed | 2025-11-15T03:16:28Z |
| publishDate | 2022 |
| publisher | IGI Global’s |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-349772022-08-26T08:22:22Z http://umpir.ump.edu.my/id/eprint/34977/ Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis Wan, Ting Leong Mohd Saberi, Mohamad Kohbalan, Moorthy Yee, Wen Choon Hasyiya Karimah, Adli Khairul Nizar Syazwan, W. S. W Loo, Keat Wei Nazar, Zaki Q Science (General) QA75 Electronic computers. Computer science Many high-demand industrial products are generated by microorganisms, including fuels, food, vitamins, and other chemicals. Metabolic engineering is the method of circumventing cellular control to manufacture a desirable product or to create a new product that the host cells do not normally need to produce. One of the objectives of microorganism metabolic engineering is to maximise the production of a desired product. However, owing to the structure of the regulatory cellular and metabolic network, identifying specific genes to be knocked out is difficult. The development of optimization algorithms often confronts issues such as easily trapping in local maxima and handling multivariate and multimodal functions inefficiently. To predict the gene knockout list that can generate high yields of desired product, a hybrid of firefly algorithm and dynamic flux balance analysis (FADFBA) is proposed. This paper focuses on the ethanol production of Escherichia coli (E. coli). The findings of the experiments include gene lists, ethanol production, growth rate, and the performance of FADFBA. , Universiti Teknologi Malaysia, Malaysia , United Arab Emirates University, UAE* Kohbalan Moorthy, Universiti Malaysia Pahang, Malaysia , Universiti Malaysia Kelantan, Malaysia , Universiti Malaysia Kelantan, Malaysia ., Universiti Malaysia Kelantan, Malaysia , Universiti Tunku Abdul Rahman, Malaysia , United Arab Emirate University, UAE IGI Global’s 2022 Article PeerReviewed Wan, Ting Leong and Mohd Saberi, Mohamad and Kohbalan, Moorthy and Yee, Wen Choon and Hasyiya Karimah, Adli and Khairul Nizar Syazwan, W. S. W and Loo, Keat Wei and Nazar, Zaki (2022) Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis. International Journal of Swarm Intelligence Research, 13 (1). pp. 1-13. ISSN 1947-9263. (Published) https://doi.org/10.4018/IJSIR.299845 10.4018/IJSIR |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science Wan, Ting Leong Mohd Saberi, Mohamad Kohbalan, Moorthy Yee, Wen Choon Hasyiya Karimah, Adli Khairul Nizar Syazwan, W. S. W Loo, Keat Wei Nazar, Zaki Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis |
| title | Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis |
| title_full | Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis |
| title_fullStr | Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis |
| title_full_unstemmed | Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis |
| title_short | Enhancement of Ethanol Production Using a Hybrid of Firefly Algorithm and Dynamic Flux Balance Analysis |
| title_sort | enhancement of ethanol production using a hybrid of firefly algorithm and dynamic flux balance analysis |
| topic | Q Science (General) QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/34977/ http://umpir.ump.edu.my/id/eprint/34977/ http://umpir.ump.edu.my/id/eprint/34977/ |