Modeling of information processing in cells

Compared to man-made technical control systems, biological control systems exhibit a remarkable fault tolerance over wide ranges of environmental cues as well as in face of variability at the level of the system-encoding genes. One of the striking features of biological control systems is a high level of regulatory redundancy. However, it is still unclear how such features might specifically contribute to the wide-ranging fault tolerance of biological control systems. This project aims to investigate whether this fault tolerance of biological control systems is rooted in design principles that differ from man-made control systems. In particular, we investigate how far and what kind of redundancy contributes to the wide range of genetic and environmental variability that biological control systems can cope with.