Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/567
DC FieldValueLanguage
dc.contributor.authorLee M.K.en_US
dc.contributor.authorMohamad, MSen_US
dc.contributor.authorChoon Y.W.en_US
dc.contributor.authorMohd Daud K.en_US
dc.contributor.authorNasarudin N.A.en_US
dc.contributor.authorIsmail M.A.en_US
dc.contributor.authorIbrahim Z.en_US
dc.contributor.authorNapis S.en_US
dc.contributor.authorSinnott R.O.en_US
dc.date.accessioned2021-01-25T04:22:48Z-
dc.date.available2021-01-25T04:22:48Z-
dc.date.issued2020-05-
dc.identifier.issn16134516-
dc.identifier.urihttp://hdl.handle.net/123456789/567-
dc.descriptionWeb of Science / Scopusen_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherNLM (Medline)en_US
dc.relation.ispartofMinimization of Metabolic Adjustmenten_US
dc.subjectArtificial Intelligenceen_US
dc.subjectBioinformaticsen_US
dc.subjectMetabolic Engineeringen_US
dc.subjectMetaheuristic algorithmsen_US
dc.subjectMinimization of Metabolic Adjustmenten_US
dc.titleComparison of Optimization-Modelling Methods for Metabolites Production in Escherichia colien_US
dc.typeInternationalen_US
dc.identifier.doi10.1515/jib-2019-0073-
dc.volume17(1)en_US
dc.description.articleno20190073en_US
dc.description.typeArticleen_US
item.fulltextWith Fulltext-
item.openairetypeInternational-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.deptUniversiti Malaysia Kelantan-
Appears in Collections:Faculty of Bioengineering and Technology - Journal (Scopus/WOS)
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