Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli

In recent years, metabolic engineering has gained central attention in numerous fields of science because of its capability to manipulate metabolic pathways in enhancing the expression of target phenotypes. Due to this, many computational approaches that perform genetic manipulation have been develo...

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Main Authors:	Mei, Kie Hon, Mohd Saberi, Mohamad, Abdul Hakim, Mohamed Salleh, Yee, Wen Choon, Kauthar, Mohd Daud, Muhammad Akmal, Remli, Mohd Arfian, Ismail, Omatu, Sigeru, Sinnott, Richard O., Corchado, Juan Manuel
Format:	Article
Language:	English
Published:	Springer 2019
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/24904/ http://umpir.ump.edu.my/id/eprint/24904/ http://umpir.ump.edu.my/id/eprint/24904/ http://umpir.ump.edu.my/id/eprint/24904/1/Identifying%20a%20Gene%20Knockout%20Strategy%20Using%20a%20Hybrid%20of%20Simple.pdf

id	ump-24904
recordtype	eprints
spelling	ump-249042019-05-10T06:33:49Z http://umpir.ump.edu.my/id/eprint/24904/ Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli Mei, Kie Hon Mohd Saberi, Mohamad Abdul Hakim, Mohamed Salleh Yee, Wen Choon Kauthar, Mohd Daud Muhammad Akmal, Remli Mohd Arfian, Ismail Omatu, Sigeru Sinnott, Richard O. Corchado, Juan Manuel Q Science (General) In recent years, metabolic engineering has gained central attention in numerous fields of science because of its capability to manipulate metabolic pathways in enhancing the expression of target phenotypes. Due to this, many computational approaches that perform genetic manipulation have been developed in the computational biology field. In metabolic engineering, conventional methods have been utilized to upgrade the generation of lactate and succinate in E. coli, although the yields produced are usually way below their theoretical maxima. To overcome the drawbacks of such conventional methods, development of hybrid algorithm is introduced to obtain an optimal solution by proposing a gene knockout strategy in E. coli which is able to improve the production of lactate and succinate. The objective function of the hybrid algorithm is optimized using a swarm intelligence optimization algorithm and a Simple Constrained Artificial Bee Colony (SCABC) algorithm. The results maximize the production of lactate and succinate by resembling the gene knockout in E. coli. The Flux Balance Analysis (FBA) is integrated in a hybrid algorithm to evaluate the growth rate of E. coli as well as the productions of lactate and succinate. This results in the identification of a gene knockout list that contributes to maximizing the production of lactate and succinate in E. coli. Springer 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24904/1/Identifying%20a%20Gene%20Knockout%20Strategy%20Using%20a%20Hybrid%20of%20Simple.pdf Mei, Kie Hon and Mohd Saberi, Mohamad and Abdul Hakim, Mohamed Salleh and Yee, Wen Choon and Kauthar, Mohd Daud and Muhammad Akmal, Remli and Mohd Arfian, Ismail and Omatu, Sigeru and Sinnott, Richard O. and Corchado, Juan Manuel (2019) Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli. Interdisciplinary Sciences: Computational Life Sciences, 11 (1). pp. 33-44. ISSN 1913-2751 https://doi.org/10.1007/s12539-019-00324-z https://doi.org/10.1007/s12539-019-00324-z
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Mei, Kie Hon Mohd Saberi, Mohamad Abdul Hakim, Mohamed Salleh Yee, Wen Choon Kauthar, Mohd Daud Muhammad Akmal, Remli Mohd Arfian, Ismail Omatu, Sigeru Sinnott, Richard O. Corchado, Juan Manuel Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli
description	In recent years, metabolic engineering has gained central attention in numerous fields of science because of its capability to manipulate metabolic pathways in enhancing the expression of target phenotypes. Due to this, many computational approaches that perform genetic manipulation have been developed in the computational biology field. In metabolic engineering, conventional methods have been utilized to upgrade the generation of lactate and succinate in E. coli, although the yields produced are usually way below their theoretical maxima. To overcome the drawbacks of such conventional methods, development of hybrid algorithm is introduced to obtain an optimal solution by proposing a gene knockout strategy in E. coli which is able to improve the production of lactate and succinate. The objective function of the hybrid algorithm is optimized using a swarm intelligence optimization algorithm and a Simple Constrained Artificial Bee Colony (SCABC) algorithm. The results maximize the production of lactate and succinate by resembling the gene knockout in E. coli. The Flux Balance Analysis (FBA) is integrated in a hybrid algorithm to evaluate the growth rate of E. coli as well as the productions of lactate and succinate. This results in the identification of a gene knockout list that contributes to maximizing the production of lactate and succinate in E. coli.
format	Article
author	Mei, Kie Hon Mohd Saberi, Mohamad Abdul Hakim, Mohamed Salleh Yee, Wen Choon Kauthar, Mohd Daud Muhammad Akmal, Remli Mohd Arfian, Ismail Omatu, Sigeru Sinnott, Richard O. Corchado, Juan Manuel
author_facet	Mei, Kie Hon Mohd Saberi, Mohamad Abdul Hakim, Mohamed Salleh Yee, Wen Choon Kauthar, Mohd Daud Muhammad Akmal, Remli Mohd Arfian, Ismail Omatu, Sigeru Sinnott, Richard O. Corchado, Juan Manuel
author_sort	Mei, Kie Hon
title	Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli
title_short	Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli
title_full	Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli
title_fullStr	Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli
title_full_unstemmed	Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli
title_sort	identifying a gene knockout strategy using a hybrid of simple constrained artificial bee colony algorithm and flux balance analysis to enhance the production of succinate and lactate in escherichia coli
publisher	Springer
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24904/ http://umpir.ump.edu.my/id/eprint/24904/ http://umpir.ump.edu.my/id/eprint/24904/ http://umpir.ump.edu.my/id/eprint/24904/1/Identifying%20a%20Gene%20Knockout%20Strategy%20Using%20a%20Hybrid%20of%20Simple.pdf
first_indexed	2023-09-18T22:37:56Z
last_indexed	2023-09-18T22:37:56Z
_version_	1777416721509908480

Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lactate in Escherichia Coli

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