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

• 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

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...