Eric Bullinger

TL;DR: The current knowledge of the molecular mechanisms of the death-receptor-activated caspase cascade is translated into a mathematical model and a reduction down to the apoptotic core machinery enables the application of analytical mathematical methods to evaluate the system behavior within a wide range of parameters.

TL;DR: A benchmark problem is described for the reconstruction and analysis of biochemical networks given sampled experimental data and several solutions based on linear and nonlinear models are discussed.

TL;DR: It is proved that the observer output error becomes smaller than a user specified bound for large times and that the adaptation converges.

TL;DR: How quantitative methods like system analysis and simulation studies can help to suitably reduce models and additionally give new insights into the signal transmission and processing of the cell is discussed.

TL;DR: In this article, an analysis of different robustness aspects for models of the direct signal transduction pathway of receptor-induced apoptosis is presented and the robustness of the threshold with respect to parameter changes is evaluated by statistical methods, showing the need to balance both the forward and back part of the activation loop.