Artificial bee colony and dynamic flux balance analysis for microbial production

The ethanol and lactate productions of Escherichia coli (E. coli) can be optimized using metabolic engineering, which implements gene knockout techniques. The gene knockout technique is utilized inside optimization algorithms to alter the metabolism of E. coli. Nowadays, several hybrid optimization...

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Main Author:	Mohd. Yusof, Nur Farhah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/78936/1/NurFarhahMohdMFC2017.pdf
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id	my-utm-ep.78936
record_format	uketd_dc
spelling	my-utm-ep.789362018-09-19T05:12:32Z Artificial bee colony and dynamic flux balance analysis for microbial production 2017-02 Mohd. Yusof, Nur Farhah QA75 Electronic computers. Computer science The ethanol and lactate productions of Escherichia coli (E. coli) can be optimized using metabolic engineering, which implements gene knockout techniques. The gene knockout technique is utilized inside optimization algorithms to alter the metabolism of E. coli. Nowadays, several hybrid optimization algorithms have been introduced to optimize the ethanol and lactate productions. However, the existing algorithms were ineffective to produce the highest production due to the huge and complex metabolic networks. Therefore, the main goal of this study is to propose a hybrid of Artificial Bee Colony and Dynamic Flux Balance Analysis (ABCDFBA) to overcome the limitation of existing algorithms. Artificial Bee Colony algorithm has advantages such as high flexibility and fast convergence. Dynamic Flux Balance Analysis algorithm can predict metabolite concentration and the dynamic of diauxic growth. Experimental results show that the ABCDFBA has performed better results in terms of Biomass-Product Coupled Yield (BPCY) of ethanol, which was 1.9505 milli-gram (gram.glucose.hour)-1 and lactate was 6.6037 milli-gram (gram.glucose.hour)-1 in E. coli performance compared to existing algorithms. 2017-02 Thesis http://eprints.utm.my/id/eprint/78936/ http://eprints.utm.my/id/eprint/78936/1/NurFarhahMohdMFC2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:108998 phd doctoral Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Mohd. Yusof, Nur Farhah Artificial bee colony and dynamic flux balance analysis for microbial production
description	The ethanol and lactate productions of Escherichia coli (E. coli) can be optimized using metabolic engineering, which implements gene knockout techniques. The gene knockout technique is utilized inside optimization algorithms to alter the metabolism of E. coli. Nowadays, several hybrid optimization algorithms have been introduced to optimize the ethanol and lactate productions. However, the existing algorithms were ineffective to produce the highest production due to the huge and complex metabolic networks. Therefore, the main goal of this study is to propose a hybrid of Artificial Bee Colony and Dynamic Flux Balance Analysis (ABCDFBA) to overcome the limitation of existing algorithms. Artificial Bee Colony algorithm has advantages such as high flexibility and fast convergence. Dynamic Flux Balance Analysis algorithm can predict metabolite concentration and the dynamic of diauxic growth. Experimental results show that the ABCDFBA has performed better results in terms of Biomass-Product Coupled Yield (BPCY) of ethanol, which was 1.9505 milli-gram (gram.glucose.hour)-1 and lactate was 6.6037 milli-gram (gram.glucose.hour)-1 in E. coli performance compared to existing algorithms.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mohd. Yusof, Nur Farhah
author_facet	Mohd. Yusof, Nur Farhah
author_sort	Mohd. Yusof, Nur Farhah
title	Artificial bee colony and dynamic flux balance analysis for microbial production
title_short	Artificial bee colony and dynamic flux balance analysis for microbial production
title_full	Artificial bee colony and dynamic flux balance analysis for microbial production
title_fullStr	Artificial bee colony and dynamic flux balance analysis for microbial production
title_full_unstemmed	Artificial bee colony and dynamic flux balance analysis for microbial production
title_sort	artificial bee colony and dynamic flux balance analysis for microbial production
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2017
url	http://eprints.utm.my/id/eprint/78936/1/NurFarhahMohdMFC2017.pdf
_version_	1747818107832893440

Artificial bee colony and dynamic flux balance analysis for microbial production

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