Anika Küken

COCOA.jl identifies concordant and kinetic modules in biochemical networks, enabling analysis of concentration robustness with improved scalability.

The paper presents factorizations to categorize balanced complexes in metabolic networks and shows their presence across all kingdoms of life.

This paper introduces a model reduction approach for biochemical networks that preserves steady-state fluxes and reduces metabolite counts by up to 99% in Escherichia coli models.

The paper introduces effective deficiency to better assess the capacity of constrained biochemical networks to permit steady state variations, showing it is smaller than classical deficiency.

The paper develops a method to compute metabolite concentration ranges in metabolic networks without kinetic parameters, validated against E. coli simulations and measurements.