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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2018
License: CC BY
Data sources: Sygma
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Design and in vitro realization of carbon-conserving photorespiration - Computational Analysis

Authors: Trudeau, Devin L.; Edlich-Muth, Christian; Zarzycki, Jan; Scheffen, Marieke; Goldsmith, Moshe; Khersonsky, Olga; Avizemer, Ziv; +5 Authors

Design and in vitro realization of carbon-conserving photorespiration - Computational Analysis

Abstract

Our aim is to develop a framework for modeling C3 photosynthesis in mesophyll cells that allows us to compare native photorespiration with engineered photosynthetic shunts. In particular, we want to model conditions that are most relevant to agricultural crops, i.e. a range of light intensities and both ambient and low CO2 intercellular airspace concentrations. Here we presented our computational analysis based on pathSeekR, the stoichiometric-kinetic model, kinetic models of photorespiration shunts and pathSeekR pathway architectures.

Supplementary Material to https://doi.org/10.1073/pnas.1812605115

Keywords

computational modeling, C3 photosynthesis, photosynthesis, photorespiration, pathSeekR

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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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