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
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Official URL: http://dx.doi.org/10.1515/jib-2022-0003
Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | artificial intelligence, bioinformatics, data science |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 103314 |
Deposited By: | Narimah Nawil |
Deposited On: | 31 Oct 2023 02:32 |
Last Modified: | 31 Oct 2023 02:32 |
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