A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production
Metabolic engineering has expanded in importance and employment in recent years and is now extensively applied particularly in the production of biomass from microbes. Metabolic network models have been employed extravagantly in computational processes developed to enhance metabolic production and s...
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Online Access: | http://eprints.utm.my/103314/1/ChanWengHowe2022_AhybridofBeesalgorithm.pdf http://eprints.utm.my/103314/ http://dx.doi.org/10.1515/jib-2022-0003 |
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my.utm.1033142023-10-31T02:32:26Z http://eprints.utm.my/103314/ A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production Yong, Mohd. Izzat Mohamad, Mohd. Saberi Choon, Yee Wen Chan, Weng Howe Adli, Hasyiya Karimah Syazwan WSW, Khairul Nizar Yusoff, Nooraini Remli, Muhammad Akmal QA75 Electronic computers. Computer science Metabolic engineering has expanded in importance and employment in recent years and is now extensively applied particularly in the production of biomass from microbes. Metabolic network models have been employed extravagantly in computational processes developed to enhance metabolic production and suggest changes in organisms. The crucial issue has been the unrealistic flux distribution presented in prior work on rational modelling framework adopting Optknock and OptGene. In order to address the problem, a hybrid of Bees Algorithm and Regulatory On/Off Minimization (BAROOM) is used. By employing Escherichia coli as the model organism, the most excellent set of genes in E. coli that can be removed and advance the production of succinate can be decided. Evidences shows that BAROOM outperforms alternative strategies used to escalate in succinate production in model organisms like E. coli by selecting the best set of genes to be removed. NLM (Medline) 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/103314/1/ChanWengHowe2022_AhybridofBeesalgorithm.pdf Yong, Mohd. Izzat and Mohamad, Mohd. Saberi and Choon, Yee Wen and Chan, Weng Howe and Adli, Hasyiya Karimah and Syazwan WSW, Khairul Nizar and Yusoff, Nooraini and Remli, Muhammad Akmal (2022) A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production. Journal of Integrative Bioinformatics, 19 (3). pp. 1-12. ISSN 1613-4516 http://dx.doi.org/10.1515/jib-2022-0003 DOI: 10.1515/jib-2022-0003 |
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QA75 Electronic computers. Computer science Yong, Mohd. Izzat Mohamad, Mohd. Saberi Choon, Yee Wen Chan, Weng Howe Adli, Hasyiya Karimah Syazwan WSW, Khairul Nizar Yusoff, Nooraini Remli, Muhammad Akmal A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production |
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Metabolic engineering has expanded in importance and employment in recent years and is now extensively applied particularly in the production of biomass from microbes. Metabolic network models have been employed extravagantly in computational processes developed to enhance metabolic production and suggest changes in organisms. The crucial issue has been the unrealistic flux distribution presented in prior work on rational modelling framework adopting Optknock and OptGene. In order to address the problem, a hybrid of Bees Algorithm and Regulatory On/Off Minimization (BAROOM) is used. By employing Escherichia coli as the model organism, the most excellent set of genes in E. coli that can be removed and advance the production of succinate can be decided. Evidences shows that BAROOM outperforms alternative strategies used to escalate in succinate production in model organisms like E. coli by selecting the best set of genes to be removed. |
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Yong, Mohd. Izzat Mohamad, Mohd. Saberi Choon, Yee Wen Chan, Weng Howe Adli, Hasyiya Karimah Syazwan WSW, Khairul Nizar Yusoff, Nooraini Remli, Muhammad Akmal |
author_facet |
Yong, Mohd. Izzat Mohamad, Mohd. Saberi Choon, Yee Wen Chan, Weng Howe Adli, Hasyiya Karimah Syazwan WSW, Khairul Nizar Yusoff, Nooraini Remli, Muhammad Akmal |
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Yong, Mohd. Izzat |
title |
A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production |
title_short |
A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production |
title_full |
A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production |
title_fullStr |
A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production |
title_full_unstemmed |
A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production |
title_sort |
hybrid of bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production |
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NLM (Medline) |
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2022 |
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http://eprints.utm.my/103314/1/ChanWengHowe2022_AhybridofBeesalgorithm.pdf http://eprints.utm.my/103314/ http://dx.doi.org/10.1515/jib-2022-0003 |
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