Inferring knowledge about biological processes by a mathematical description is a major
characteristic of Systems Biology. To understand and predict system's behavior the available …

Motivation: Mathematical description of biological reaction networks by differential equations
leads to large models whose parameters are calibrated in order to optimally explain …

Due to the high complexity of biological data it is difficult to disentangle cellular processes
relying only on intuitive interpretation of measurements. A Systems Biology approach that …

Tumor ecosystems are composed of multiple cell types that communicate by ligand-receptor
interactions. Targeting ligand-receptor interactions (for instance, with immune checkpoint …

As interactions between the immune system and tumour cells are governed by a complex
network of cell–cell interactions, knowing the specific immune cell composition of a solid …

Bachmann J, Raue A, Schilling M, Becker V, Timmer J, Klingmüller U (German Cancer
Research Center, Heidelberg; BIOSS Centre for Biological Signalling Studies, Freiburg; and …

Abstract Systems biology aims at creating mathematical models, ie, computational reconstructions
of biological systems and processes that will result in a new level of understanding—…

Motivation: Modeling of dynamical systems using ordinary differential equations is a popular
approach in the field of Systems Biology. The amount of experimental data that are used to …

Mathematical description of biological processes such as gene regulatory networks or signalling
pathways by dynamic models utilising ordinary differential equations faces challenges if …

In this article, we will introduce identifiability and its connection to observability and experimental
design from a perception of parameter estimation. To this end, we discuss a generic …