Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/567
Title: Comparison of Optimization-Modelling Methods for Metabolites Production in Escherichia coli
Authors: Lee M.K. 
Mohamad, MS 
Choon Y.W. 
Mohd Daud K. 
Nasarudin N.A. 
Ismail M.A. 
Ibrahim Z. 
Napis S. 
Sinnott R.O. 
Keywords: Artificial Intelligence;Bioinformatics;Metabolic Engineering;Metaheuristic algorithms;Minimization of Metabolic Adjustment
Issue Date: May-2020
Publisher: NLM (Medline)
Journal: Minimization of Metabolic Adjustment 
Abstract: 
The metabolic network is the reconstruction of the metabolic pathway of an organism that is used to represent the interaction between enzymes and metabolites in genome level. Meanwhile, metabolic engineering is a process that modifies the metabolic network of a cell to increase the production of metabolites. However, the metabolic networks are too complex that cause problem in identifying near-optimal knockout genes/reactions for maximizing the metabolite's production. Therefore, through constraint-based modelling, various metaheuristic algorithms have been improvised to optimize the desired phenotypes. In this paper, PSOMOMA was compared with CSMOMA and ABCMOMA for maximizing the production of succinic acid in E. coli. Furthermore, the results obtained from PSOMOMA were validated with results from the wet lab experiment.
Description: 
Web of Science / Scopus
URI: http://hdl.handle.net/123456789/567
ISSN: 16134516
DOI: 10.1515/jib-2019-0073
Appears in Collections:Faculty of Bioengineering and Technology - Journal (Scopus/WOS)

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