Arieef, Mohd Fahmi and Yee, Wen Choon and Mohamad, Mohd Saberi and Deris, Safaai and Napis, Suhaimi and Kasim, Shahreen (2017) A hybrid of integer differential bees and flux balance analysis for improving succinate and lactate production. International Journal on Advanced Science Engineering Information Technology, 7 (4-2). pp. 1615-1620. ISSN 2088-5334
Text
AJ 2017 (478).pdf Restricted to Registered users only Download (1MB) | Request a copy |
Abstract
The production of succinate and lactate from E.coli become a demand in pharmaceutical industries. To increase the yield of the production, gene knockout technique was implemented in various hybrid optimization algorithms. In recent years, several hybrid optimizations have been introduced to optimize succinate and lactate production. However, the previous works were ineffective to produce the highest production due to the size and complexity of metabolic networks and the dynamic interaction between the components. Therefore, the main purpose of this study is to overcome the limitation of the existing algorithms which hybridizing Integer Differential Bees and Flux Balance Analysis (IDBFBA). The experimental results show a better performance in terms of growth rate and production yield of desired phenotypes compared to the method used in previous works.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Flux Balance Analysis; Metabolic engineering; E.coli |
Subjects: | Q Science > QP Physiology > QP501-801 Animal biochemistry |
Divisions: | Faculty of Computer Science and Information Technology > Department of Information Security |
Depositing User: | Miss Nur Rasyidah Rosli |
Date Deposited: | 16 Nov 2021 07:35 |
Last Modified: | 16 Nov 2021 07:35 |
URI: | http://eprints.uthm.edu.my/id/eprint/3331 |
Actions (login required)
View Item |