Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of <italic>Escherichia Coli</italic> Metabolic Network Model

Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of <italic>Escherichia Coli</italic> 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: Mohammed Adam Kunna Azrag, Tuty Asmawaty Abdul Kadir, Aqeel S. Jaber
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
System biology
metabolic model
sensitivity analysis
identification
PSO
Se-PSO
Online Access:https://ieeexplore.ieee.org/document/8565855/

Internet

https://ieeexplore.ieee.org/document/8565855/

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