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mfapy: An open-source Python package for (13)C-based metabolic flux analysis

(13)C-based metabolic flux analysis ((13)C-MFA) is an essential tool for estimating intracellular metabolic flux levels in metabolic engineering and biology. In (13)C-MFA, a metabolic flux distribution that explains the observed isotope labeling data was computationally estimated using a non-linear...

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Detalles Bibliográficos
Autores principales: Matsuda, Fumio, Maeda, Kousuke, Taniguchi, Takeo, Kondo, Yuya, Yatabe, Futa, Okahashi, Nobuyuki, Shimizu, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322459/
https://www.ncbi.nlm.nih.gov/pubmed/34354925
http://dx.doi.org/10.1016/j.mec.2021.e00177
Descripción
Sumario:(13)C-based metabolic flux analysis ((13)C-MFA) is an essential tool for estimating intracellular metabolic flux levels in metabolic engineering and biology. In (13)C-MFA, a metabolic flux distribution that explains the observed isotope labeling data was computationally estimated using a non-linear optimization method. Herein, we report the development of mfapy, an open-source Python package developed for more flexibility and extensibility for (13)C-MFA. mfapy compels users to write a customized Python code by describing each step in the data analysis procedures of the isotope labeling experiments. The flexibility and extensibility provided by mfapy can support trial-and-error performance in the routine estimation of metabolic flux distributions, experimental design by computer simulations of (13)C-MFA experiments, and development of new data analysis techniques for stable isotope labeling experiments. mfapy is available to the public from the Github repository (https://github.com/fumiomatsuda/mfapy).