A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli

Succinic acid, also known as dicarboxylic acid, is one of the biochemical products chemically produced from Escherichia coli (E. coli) metabolism. However, by using conventional methods succinic acid cannot be produced sufficiently and it is costly. Hence, there is a lot of ongoing research on E. co...

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Main Authors: Tan, Jun Bin, Choon, Yee Wen, Moorthy, Kohbalan, Hasyiya Karimah, Adli, Muhammad Akmal, Remli, Mohd Arfian, Ismail, Zuwairie, Ibrahim, Mohd Saberi, Mohamad
Format: Article
Language:English
Published: World Scientific Publishing 2023
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Online Access:http://umpir.ump.edu.my/id/eprint/43509/1/A%20hybrid%20of%20ant%20colony%20optimization%2C%20genetic%20algorithm%20and%20flux%20balance%20analysis%20for%20optimization%20of%20succinic%20acid%20production%20in%20Escherichia%20coli.pdf
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author Tan, Jun Bin
Choon, Yee Wen
Moorthy, Kohbalan
Hasyiya Karimah, Adli
Muhammad Akmal, Remli
Mohd Arfian, Ismail
Zuwairie, Ibrahim
Mohd Saberi, Mohamad
author_facet Tan, Jun Bin
Choon, Yee Wen
Moorthy, Kohbalan
Hasyiya Karimah, Adli
Muhammad Akmal, Remli
Mohd Arfian, Ismail
Zuwairie, Ibrahim
Mohd Saberi, Mohamad
author_sort Tan, Jun Bin
collection UMP
description Succinic acid, also known as dicarboxylic acid, is one of the biochemical products chemically produced from Escherichia coli (E. coli) metabolism. However, by using conventional methods succinic acid cannot be produced sufficiently and it is costly. Hence, there is a lot of ongoing research on E. coli by using in silico methods. Researchers build computational models of E. coli to analyze and modify their metabolic network. This paper proposes a hybrid of ant colony optimization–genetic algorithm–flux balance analysis (ACOGAFBA) in enhancing the succinic acid production of E. coli by identifying genes to be knocked out. Ant colony optimization (ACO) is a swarm intelligent optimization that is inspired based on the natural foraging behavior of ant colony. Local search technique like genetic algorithm (GA) is applied to solve optimization and search problem by approximation. Flux balance analysis (FBA) is used for fitness calculation after gene knockout. FBA identifies a point (fitness) in flux space by using quadratic programming, which is closest to the wild type point. ACOGAFBA produced three sets of gene knockout lists. The dataset iiJR904 is used in this paper. The results show that ACOGAFBA can identify the set of knockout genes to improve succinic acid production in E. coli.
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spelling UMPir435092025-01-10T08:34:03Z http://umpir.ump.edu.my/id/eprint/43509/ A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli Tan, Jun Bin Choon, Yee Wen Moorthy, Kohbalan Hasyiya Karimah, Adli Muhammad Akmal, Remli Mohd Arfian, Ismail Zuwairie, Ibrahim Mohd Saberi, Mohamad QA75 Electronic computers. Computer science QH426 Genetics Succinic acid, also known as dicarboxylic acid, is one of the biochemical products chemically produced from Escherichia coli (E. coli) metabolism. However, by using conventional methods succinic acid cannot be produced sufficiently and it is costly. Hence, there is a lot of ongoing research on E. coli by using in silico methods. Researchers build computational models of E. coli to analyze and modify their metabolic network. This paper proposes a hybrid of ant colony optimization–genetic algorithm–flux balance analysis (ACOGAFBA) in enhancing the succinic acid production of E. coli by identifying genes to be knocked out. Ant colony optimization (ACO) is a swarm intelligent optimization that is inspired based on the natural foraging behavior of ant colony. Local search technique like genetic algorithm (GA) is applied to solve optimization and search problem by approximation. Flux balance analysis (FBA) is used for fitness calculation after gene knockout. FBA identifies a point (fitness) in flux space by using quadratic programming, which is closest to the wild type point. ACOGAFBA produced three sets of gene knockout lists. The dataset iiJR904 is used in this paper. The results show that ACOGAFBA can identify the set of knockout genes to improve succinic acid production in E. coli. World Scientific Publishing 2023 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43509/1/A%20hybrid%20of%20ant%20colony%20optimization%2C%20genetic%20algorithm%20and%20flux%20balance%20analysis%20for%20optimization%20of%20succinic%20acid%20production%20in%20Escherichia%20coli.pdf Tan, Jun Bin and Choon, Yee Wen and Moorthy, Kohbalan and Hasyiya Karimah, Adli and Muhammad Akmal, Remli and Mohd Arfian, Ismail and Zuwairie, Ibrahim and Mohd Saberi, Mohamad (2023) A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli. International Journal of Modeling, Simulation, and Scientific Computing, 14 (4). pp. 1-19. ISSN 1793-9623. (Published) https://doi.org/10.1142/S179396232350040X https://doi.org/10.1142/S179396232350040X
spellingShingle QA75 Electronic computers. Computer science
QH426 Genetics
Tan, Jun Bin
Choon, Yee Wen
Moorthy, Kohbalan
Hasyiya Karimah, Adli
Muhammad Akmal, Remli
Mohd Arfian, Ismail
Zuwairie, Ibrahim
Mohd Saberi, Mohamad
A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli
title A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli
title_full A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli
title_fullStr A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli
title_full_unstemmed A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli
title_short A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli
title_sort hybrid of ant colony optimization genetic algorithm and flux balance analysis for optimization of succinic acid production in escherichia coli
topic QA75 Electronic computers. Computer science
QH426 Genetics
url http://umpir.ump.edu.my/id/eprint/43509/1/A%20hybrid%20of%20ant%20colony%20optimization%2C%20genetic%20algorithm%20and%20flux%20balance%20analysis%20for%20optimization%20of%20succinic%20acid%20production%20in%20Escherichia%20coli.pdf
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