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

Páez-Watson T, Hernández Medina R, Vellekoop L, van Loosdrecht MC, Wahl SA (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Bioinformatics Advances Oxford University Press

Book Volume: 4

Article Number: vbae174

Journal Issue: 1

DOI: 10.1093/bioadv/vbae174

Abstract

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.

Involved external institutions

Delft University of Technology (TU Delft) NL Netherlands (NL)

How to cite

APA:

Páez-Watson, T., Hernández Medina, R., Vellekoop, L., van Loosdrecht, M.C., & Wahl, S.A. (2024). Conditional flux balance analysis toolbox for python: application to research metabolism in cyclic environments. Bioinformatics Advances, 4(1). https://doi.org/10.1093/bioadv/vbae174

MLA:

Páez-Watson, Timothy, et al. "Conditional flux balance analysis toolbox for python: application to research metabolism in cyclic environments." Bioinformatics Advances 4.1 (2024).

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