Conditional flux balance analysis toolbox for python: application to research metabolism in cyclic environments.

Autor:	Páez-Watson T; Department of Biotechnology, Delft University of Technology, Delft 2629 HZ, The Netherlands., Hernández Medina R, Vellekoop L; Department of Biotechnology, Delft University of Technology, Delft 2629 HZ, The Netherlands., van Loosdrecht MCM; Department of Biotechnology, Delft University of Technology, Delft 2629 HZ, The Netherlands., Wahl SA; Department of Biotechnology, Delft University of Technology, Delft 2629 HZ, The Netherlands.; Lehrstuhl für Bioverfahrenstechnik, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen 91052, Germany.
Jazyk:	angličtina
Zdroj:	Bioinformatics advances [Bioinform Adv] 2024 Nov 13; Vol. 4 (1), pp. vbae174. Date of Electronic Publication: 2024 Nov 13 (Print Publication: 2024).
DOI:	10.1093/bioadv/vbae174
Abstrakt:	Summary: We present py_cFBA, a Python-based toolbox for conditional flux balance analysis (cFBA). Our toolbox allows for an easy implementation of cFBA models using a well-documented and modular approach and supports the generation of Systems Biology Markup Language models. The toolbox is designed to be user-friendly, versatile, and freely available to non-commercial users, serving as a valuable resource for researchers predicting metabolic behaviour with resource allocation in dynamic-cyclic environments. Availability and Implementation: Extensive documentation, installation steps, tutorials, and examples are available at https://tp-watson-python-cfba.readthedocs.io/en/. The py_cFBA python package is available at https://pypi.org/project/py-cfba/. Competing Interests: The authors declare no conflict of interest. (© The Author(s) 2024. Published by Oxford University Press.)
Databáze:	MEDLINE
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