Work

GBA Solver: a user-friendly web server for growth balance analysis

Year: 2025

Type: article

Abstract: SUMMARY: GBA Solver is a web-based application that enables efficient construction and numerical solution of coarse-grained growth balance analysis (GBA) models containing up to 20 reactions. The platform features an intuitive spreadsheet-based interface that eliminates the need for programming, integrates kinetic parameters from the BRENDA enzyme database, and provides interactive visualizations for model exploration. By lowering technical barriers, GBA Solver makes GBA modeling accessible to a wider scientific community, expanding the computational toolkit for investigating cell metabolism and growth. AVAILABILITY AND IMPLEMENTATION: GBA Solver is freely available at: https://cellgrowthsim.com/. The source code is available at: https://doi.org/10.5281/zenodo.17250925.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btaf609

Authors: Sajjad Ghaffarinasab, Hugo Dourado

Institution: Heinrich Heine University Düsseldorf

Language: English

Topic: Microbial Metabolic Engineering and Bioproduction

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $3,989

Funders: European Commission, Deutsche Forschungsgemeinschaft