Literature DB >> 31417525

Corrigendum: The Design of FluxML: A Universal Modeling Language for 13C Metabolic Flux Analysis.

Martin Beyß1, Salah Azzouzi1, Michael Weitzel1, Wolfgang Wiechert1,2, Katharina Nöh1.   

Abstract

[This corrects the article DOI: 10.3389/fmicb.2019.01022.].

Entities:  

Keywords:  13C metabolic flux analysis; FluxML; computational modeling; data models; machine-readable format; model exchange; model specification language; reproducible science

Year:  2019        PMID: 31417525      PMCID: PMC6682752          DOI: 10.3389/fmicb.2019.01734

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


In the original article, Sysmetab was cited by “Mottelet et al. 2017” in Supplementary S1 Table 1.1 and not in the main text of the article. The citation has now been inserted in the section Harnessing the Benefits of FLUXML, sub-section FluxML for Simulator Comparisons, paragraph one: “From a users' perspective, the lack of abilities to compare and validate numerical results generated by different 13C MFA tools is unsatisfactory. Clearly, a precise and unambiguous representation of a model provides the basis for any of these tasks. Extracting the encoding of a model formulated for one piece of software and transferring it to another format is a step prone to errors that should be subjected to converters. Here, we exemplify a simulator comparison, taking the deterministic forward simulation step with 13CFLUX2 (v2.0) and Sysmetab (v5.1, Mottelet et al., 2017) as representative test case. The comparison is done with a central metabolism model of E. coli contained in the Sysmetab distribution, precisely, a isotopically stationary and non-stationary variant mimicking ILEs with a 3:7 [U-13C]:[1-13C]-glucose mixture. The tool reports that the network consists of 51 metabolites and 86 reactions. In total 9 MS measurement groups and one extracellular flux measurement are contained.” The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
  1 in total

1.  Metabolic Flux Analysis in Isotope Labeling Experiments Using the Adjoint Approach.

Authors:  Stephane Mottelet; Gil Gaullier; Georges Sadaka
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016-03-21       Impact factor: 3.710

  1 in total

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