Introduction to Systems Biology (3V/1Ü)
and place ( 3h lecture + 1h exercise)
|Tuesdays 11:30-13:00, Pfaffenwaldring 9, room 3.241
|Thursdays 15:45-17:15, Pfaffenwaldring 9, room 3.241
Start: Tuesday, October 20th, 2009
Dramatic advances in proteonomics, genomics, and measurement
technologies such as DNA arrays have lead to a significantly increased
knowledge about biological organisms.
Classical and molecular biology have contributed to identify numerous
individual genes and proteins, as well as other cellular
components, and their specific functions.
However, by now it has become clear that understanding biological
organisms is not possible by simply collecting information about all
involved components. Rather, a holistic understanding of biological
organisms requires considering all involved components as well as the
interactions among them, since the interactions are ultimately responsible
for an organism’s form and functions.
Systems biology aims to obtain a holistic understanding of
biological systems such as a single cell, organ or even a whole living
organism, by combining approaches from system sciences, life sciences, and
An exciting and constantly active field of research, systems biology integrates
experimental data and mathematical modeling, knowledge and system analysis, to gain
intuition into the mechanisms and dynamics of biological systems.
It is expected that the
insights obtained using methods from systems biology will lead to
advances in various fields such as medicine and biochemical
Systems biology, often also called “the sciences of the 21st
is an interdisciplinary challenge for biologists, computer scientists,
system theoreticians, and physicians.
The main objective of this
course is to give an introduction to
covering aspects from biology,
systems theory, and some of the databases/tools available.
The course is designed for people interested in the
fusion of systems, life, and information sciences.
One of the goals is to give a clear insight into the modeling and
analysis methods typically used to study biological systems, including
metabolism, signal transduction, genetic networks, and cell to cell
Where necessary, a review of the biological basics is given. Topics
to be covered include:
- modeling and analysis of biochemical reaction networks
- databases and information science tools
- modeling and analysis of genetic regulatory networks
- experimental techniques typically used in systems biology
- Constrained-based modeling
- Stochastic modeling approaches
- Qualitative and quantitative models
- Sensitivity analysis
The lecture is supplemented by classroom and computer
exercises, as well as reading scientific papers on some of the topics.
The course is intended to all students (e.g. from the study directions
technical cybernetics or technical biology) interested in systems
specific prerequisites are required.
This lecture is compulsory part of the Anwendungsfach
The course is tentatively given in