Module Number

Module Title

Selected Topics in Systems Biology (Proseminar)
Type of Module

Elective Compulsory
Work load
- Contact time
- Self study
90 h
Class time:
30 h / 2 SWS
Self study:
60 h
Duration 1 Semester
Frequency In the winter semester
Language of instruction German
Type of Exam

Presentation and essay

Lecture type(s) Proseminar

Systems biology is a joint project of diverse scientific disciplines with the aim of being able to draw conclusions about the expected phenotype from the totality of all the building blocks of life. To this end, computer models of the life forms under consideration are used, the simulation of which provides information about the diverse processes in living systems. This proseminar offers a broad insight into diverse areas of computational systems biology.

Selected topics will introduce fundamental techniques for modeling and simulation, including constraint-based modeling, kinetic modeling, the stochastic Gillespie algorithm, sampling techniques, and potential applications in biotechnology and health care.

Students will present and discuss recent publications in combination with the fundamentals of theories, methods, and algorithms behind them. Through discussions of selected publications, students will learn to use computational modeling as a tool and be able to incorporate experimental data into the models.

- Learn fundamental concepts in biological network modeling for an integrative approach to the study of living systems.
- Acquire skills in understanding the concepts of mathematical or computational models of biological systems and their analysis in the context of laboratory data sets.
- Familiarity with essential computational tools for constructing the models.
- Understanding of terminology used in systems biology publications.


Students acquire a broad overview of systems biology.

Allocation of credits / grading
Type of Class
Type of Exam
Exam duration
of Module (%)
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other

Herbert M. Sauro, Systems Biology: Introduction to Pathway Modeling. Ambrosius Publishing, 2018.
- Reinhart Heinrich und Stefan Schuster. The regulation of cellular systems. Springer, 2012.
- Reihaneh Mostolizadeh, Andreas Dräger und Neema Jamshidi. Insights into Dynamic Network States Using Metabolomic Data. In: Angelo D'Alessandro (Editor) High-Throughput Metabolomics. Methods in Molecular Biology, Band 1978, Kapitel, Seiten 243-258. Humana, New York, NY, 23. Mai 2019.
- Palsson, Bernhard Ø. Systems Biology: Properties of Reconstructed Networks. Cambridge University Press, 2007.
- Palsson, Bernhard Ø. Systems Biology: Constraint-based Reconstruction and Analysis. Cambridge University Press, 2015.
- Weitere Publikationen werden in der Veranstaltung ausgegeben.

Last offered unknown
Planned for currently not planned
Assigned Study Areas BIOINFM1510, MDZINFM1510