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  OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli

Hädicke, O., Kamp von, A., Aydogan, T., & Klamt, S. (2018). OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli. PLoS Computational Biology, 14(9): e1006492. doi:10.1371/journal.pcbi.1006492.

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Copyright: © 2018 Hädicke et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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 Creators:
Hädicke, Oliver1, Author           
Kamp von, Axel1, Author           
Aydogan, Timur1, Author           
Klamt, Steffen1, Author           
Affiliations:
1Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pcbi.1006492
Other: pubdata_escidoc:3001936
 Degree: -

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Project name : StrainBooster - Enforced ATP wasting as a general design principle to rationally engineer microbial cell factories
Grant ID : 721176
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 14 (9) Sequence Number: e1006492 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1