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

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/33504/1/Segment%20particle%20swarm%20optimization%20adoption%20for%20large-scale%20kinetic%20parameter%20l.pdf
http://umpir.ump.edu.my/id/eprint/33504/
https://doi.org/10.1109/ACCESS.2018.2885118
https://doi.org/10.1109/ACCESS.2018.2885118
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Institution: Universiti Malaysia Pahang
Language: English

Internet

http://umpir.ump.edu.my/id/eprint/33504/1/Segment%20particle%20swarm%20optimization%20adoption%20for%20large-scale%20kinetic%20parameter%20l.pdf
http://umpir.ump.edu.my/id/eprint/33504/
https://doi.org/10.1109/ACCESS.2018.2885118
https://doi.org/10.1109/ACCESS.2018.2885118

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