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Development of an accurate kinetic model for the central carbon metabolism of Escherichia coli

Overview of attention for article published in Microbial Cell Factories, June 2016
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Title
Development of an accurate kinetic model for the central carbon metabolism of Escherichia coli
Published in
Microbial Cell Factories, June 2016
DOI 10.1186/s12934-016-0511-x
Pubmed ID
Authors

Nusrat Jahan, Kazuhiro Maeda, Yu Matsuoka, Yurie Sugimoto, Hiroyuki Kurata

Abstract

A kinetic model provides insights into the dynamic response of biological systems and predicts how their complex metabolic and gene regulatory networks generate particular functions. Of many biological systems, Escherichia coli metabolic pathways have been modeled extensively at the enzymatic and genetic levels, but existing models cannot accurately reproduce experimental behaviors in a batch culture, due to the inadequate estimation of a specific cell growth rate and a large number of unmeasured parameters. In this study, we developed a detailed kinetic model for the central carbon metabolism of E. coli in a batch culture, which includes the glycolytic pathway, tricarboxylic acid cycle, pentose phosphate pathway, Entner-Doudoroff pathway, anaplerotic pathway, glyoxylate shunt, oxidative phosphorylation, phosphotransferase system (Pts), non-Pts and metabolic gene regulations by four protein transcription factors: cAMP receptor, catabolite repressor/activator, pyruvate dehydrogenase complex repressor and isocitrate lyase regulator. The kinetic parameters were estimated by a constrained optimization method on a supercomputer. The model estimated a specific growth rate based on reaction kinetics and accurately reproduced the dynamics of wild-type E. coli and multiple genetic mutants in a batch culture. This model overcame the intrinsic limitations of existing kinetic models in a batch culture, predicted the effects of multilayer regulations (allosteric effectors and gene expression) on central carbon metabolism and proposed rationally designed fast-growing cells based on understandings of molecular processes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Belgium 1 <1%
Germany 1 <1%
Russia 1 <1%
Denmark 1 <1%
Unknown 147 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 28%
Student > Master 21 14%
Researcher 18 12%
Student > Bachelor 16 10%
Student > Doctoral Student 8 5%
Other 17 11%
Unknown 31 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 28%
Agricultural and Biological Sciences 28 18%
Engineering 12 8%
Chemical Engineering 10 6%
Computer Science 8 5%
Other 13 8%
Unknown 40 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 June 2016.
All research outputs
#18,464,797
of 22,879,161 outputs
Outputs from Microbial Cell Factories
#1,207
of 1,604 outputs
Outputs of similar age
#267,853
of 353,105 outputs
Outputs of similar age from Microbial Cell Factories
#30
of 37 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,604 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.