Unknown

Dataset Information

0

Mfapy: An open-source Python package for 13C-based metabolic flux analysis.


ABSTRACT: 13C-based metabolic flux analysis (13C-MFA) is an essential tool for estimating intracellular metabolic flux levels in metabolic engineering and biology. In 13C-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 13C-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 13C-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).

SUBMITTER: Matsuda F 

PROVIDER: S-EPMC8322459 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

mfapy: An open-source Python package for <sup>13</sup>C-based metabolic flux analysis.

Matsuda Fumio F   Maeda Kousuke K   Taniguchi Takeo T   Kondo Yuya Y   Yatabe Futa F   Okahashi Nobuyuki N   Shimizu Hiroshi H  

Metabolic engineering communications 20210717


<sup>13</sup>C-based metabolic flux analysis (<sup>13</sup>C-MFA) is an essential tool for estimating intracellular metabolic flux levels in metabolic engineering and biology. In <sup>13</sup>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 <sup>13</sup>C-MFA. mfapy  ...[more]

Similar Datasets

| S-EPMC5933345 | biostudies-literature
| S-EPMC10997433 | biostudies-literature
| S-EPMC10510750 | biostudies-literature
| S-EPMC6459545 | biostudies-literature
| S-EPMC8479682 | biostudies-literature
| S-EPMC3636164 | biostudies-literature
| S-EPMC10415174 | biostudies-literature
| S-EPMC5872256 | biostudies-literature
| S-EPMC10925014 | biostudies-literature
| S-EPMC10517472 | biostudies-literature