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)
Full text not available from this repository. (Request a copy)Abstract
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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Artificial Intelligence, Bioinformatics, Dynamic Flux Balance Analysis, Escherichia coli, Firefly Algorithm, Gene Knockout, Metabolic Engineering |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computing |
| Depositing User: | Dr. Kohbalan Moorthy |
| Date Deposited: | 26 Aug 2022 08:22 |
| Last Modified: | 26 Aug 2022 08:22 |
| URI: | http://umpir.ump.edu.my/id/eprint/34977 |
| Download Statistic: | View Download Statistics |
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