About this project
Description from the program archive
This project addresses the current incompatibility of the Systems Biology Simulation Core Library (SBSCL) with modern computing architectures, specifically ARM-based processors. It restores its functionality on these newer hardware platforms. By creating a flexible, solver-agnostic abstraction layer, SBSCL will integrate a variety of linear optimization solvers, including both open-source (GLPK, CBC, SCIP) and commercial (CPLEX, Gurobi) options. The project also explores extending functionality with advanced constraint-based analysis methods, such as Flux Variability Analysis (FVA), further enhancing SBSCL’s analytical capabilities. Comprehensive validation, clear documentation, and example workflows will ensure easy use and broad adoption. Ultimately, these improvements will substantially enhance SBSCL’s usability, reproducibility, and overall user experience. As a result, researchers will spend less time on technical workarounds and more time focusing on biological questions.