Yong, Mohd. Izzat and Mohamad, Mohd. Saberi and Choon, Yee Wen and Chan, Weng Howe and Adli, Hasyiya Karimah and Wan Salihin Wong, Khairul Nizar Syazwan and Yusoff, Nooraini and Remli, Muhammad Akmal (2022) A hybrid of bees algorithm and regulatory on/off minimization for optimizing lactate production. In: 15th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2021, 6 October 2021 - 8 October 2021, Salamanca, Spain.
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Official URL: http://dx.doi.org/10.1007/978-3-030-86258-9_10
Abstract
Metabolic engineering has grown dramatically and is now widely used, particularly in the production of biomass utilising microorganisms. The metabolic network model has been extensively used in computational procedures developed to optimise metabolic production and suggest modifications in organisms. The problem has been the unrealistic flux distribution suggestion demonstrated by previous work on a rational modelling framework employing Optknock and OptGene. To address the issue, a hybrid of the Bees Algorithm and Regulatory On/Off Minimization (BAROOM) is introduced. By using Eschericia coli (E. coli) as the model organism, BAROOM is able to determine the optimal set of gene that can be knocked out and improve lactate production. The results show that BAROOM performs better than other methods in increasing lactate production in model organism by identifying optimal set of genes to be knocked out.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | artificial intelligence, bioinformatics, gene knockout, metabolic engineering, modelling, optgene, optimization, OptKnock |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 101384 |
| Deposited By: | Yanti Mohd Shah |
| Deposited On: | 14 Jun 2023 09:52 |
| Last Modified: | 14 Jun 2023 09:52 |
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