Segment particle swarm optimization adoption for large-scale kinetic parameter identification of escherichia coli metabolic network model

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Segment particle swarm optimization adoption for large-scale kinetic parameter identification of escherichia coli metabolic network model

Kinetic parameter identification in the dynamic metabolic model of Escherichia coli (E. coli) has become important and is needed to obtain appropriate metabolite and enzyme data that are valid under in vivo conditions. The dynamic metabolic model under study represents five metabolic pathways with m...

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Bibliographic Details
Main Authors:	Azrag, Mohammed Adam Kunna, Tuty Asmawaty, Abdul Kadir, Jaber, Aqeel S.
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software QH Natural history TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/33504/ http://umpir.ump.edu.my/id/eprint/33504/1/Segment%20particle%20swarm%20optimization%20adoption%20for%20large-scale%20kinetic%20parameter%20l.pdf

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