Approaches to Complexity Reduction in a Systems Biology Research Environment (SYCAMORE)

Due to the complexity of biochemical reaction networks, so-called complexity reduction algorithms play a crucial role for making simulations efficient and for dissecting biochemical networks into meaningful subnetworks for analysis. Here, different approaches are presented, which we are developing in the context of a computational research environment for systems biology (SYCAMORE). These approaches are based on time-scale decomposition, sensitivity analysis, and hybrid simulation methods