 Molecular biology has been extremely successful in generating knowledge on biological mechanisms through the twin strategies of decomposition and localization of component parts and molecular operations (Bechtel &amp; Richardson 1993 [2010]). But the very success of the detailed study of molecular pathways has also revealed dynamic interfaces and crosslinks between processes and components that were previously assigned to distinct mechanisms or subsystems. To account for a vast number of interacting components and multiple feedback loops dynamic modeling is needed (Bechtel &amp; Abrahamsen 2012). Network modeling and computational simulations in systems biology allow for the study of larger integrated systems and thus provide strategies for recomposing the findings in the context of larger systems (Bechtel 2016; Gross &amp; Green 2017). Systems are in this context generally understood as large networks of integrated components exhibiting non-linear dynamics. However, there is no unified view of what constitutes a systems-approach (Calvert 2010; Calvert &amp; Fujimura 2011). As clarified below, systems biology comprises different research practices with different ties to molecular biology, genomics, as well as to non-biological disciplines (see also Krohs &amp; Callebaut 2007).