Comparison of Optimization-Modelling Methods for Metabolites Production in Escherichia coli

• Main Authors: Lee Mee K., Mohamad Mohd Saberi, Choon Yee Wen, Mohd Daud Kauthar, Nasarudin Nurul Athirah, Ismail Mohd Arfian, Ibrahim Zuwairie, Napis Suhaimi, Sinnott Richard O.
• Format: Article
• Language: English
• Published: De Gruyter 2020-05-01
• Series: Journal of Integrative Bioinformatics
• Subjects: metaheuristic algorithms; minimization of metabolic adjustment; metabolic engineering; bioinformatics; artificial intelligence
• Online Access: https://doi.org/10.1515/jib-2019-0073

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.