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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Claim

Supplementary dataset 5 - Constraint-based metabolic control analysis for rational strain engineering

Research datakeyboard_double_arrow_right Dataset 04 Feb 2021 English Publisher:Zenodo
Authors: Tsouka Sophia; Meric, Ataman; Tuure, Hameri; Ljubisa, Miskovic; Vassily, Hatzimanikatis;

doi: 10.5281/zenodo.4501147 , 10.5281/zenodo.4501146

Supplementary dataset 5 - Constraint-based metabolic control analysis for rational strain engineering

Abstract

Constraint-based metabolic control analysis for rational strain engineering by S. Tsouka et al. 5th part of Supplementary dataset 1-5: contains a population of 50000 control coefficients (Metabolic Control Analysis) used to extract 19 representative vectors of control coefficients (CCs) via Principal Component Analysis. These 19 CCs are then used to formulate the NRA optimization problems and devise metabolic engineering strategies.

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Keywords

Mixed-Integer Linear Programming, Metabolic Control Analysis, Metabolic Engineering, E. coli

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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