Distribution of correlations of measured metabolite levels across flux-sum coupling types in E. coli. Boxplots comparing Pearson correlations of measured metabolite levels for fully coupled (FC), partially coupled (PC), directionally coupled (DC), and uncoupled (UC) pairs in the iML1515 model of E. coli.

Distribution of correlations of measured metabolite levels across flux-sum coupling types in E. coli. Boxplots comparing Pearson correlations of measured metabolite levels for fully coupled (FC), partially coupled (PC), directionally coupled (DC), and uncoupled (UC) pairs...

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Bibliographic Details
Main Author:	Mihriban Seyis (21011781) (author)
Other Authors:	Zahra Razaghi-Moghadam (1426774) (author), Zoran Nikoloski (175457) (author)
Published:	2025
Subjects:	Biochemistry Microbiology Cell Biology Molecular Biology Physiology Biotechnology Sociology Cancer Inorganic Chemistry Computational Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified three coupling relationships coupling relationships identified biochemical reactions play saccharomyces cerevisiae </ arabidopsis thaliana </ specific metabolic states scale metabolic modeling lack reliable proxies coupled metabolite pairs escherichia coli </ sum coupling analysis div >< p available concentration measurements coli </ metabolite concentration reliable proxy metabolic regulation metabolite concentrations qualitative associations pinpointed similarities novel tool metabolic models important role efficiently determined despite advances cellular metabolism based framework based approach allow us
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