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

Abstract

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. GBA Solver is freely available at: https://cellgrowthsim.com/. The source code is available at: https://gitlab.cs.uni-duesseldorf.de/general/ccb/GBASolver.