Modelling and Analysis in Systems Biology

This course provides an introduction to the biological and theoretical concepts of Systems Biology. It covers the biological basics, benefits and limitations of mathematical modelling of biochemical networks and gives an introduction to model parametrization, simulation and analysis.

Priv.-Doz. Dr. sc. techn. ETH Eric Bullinger
Laboratory for Systems Theory and Automatic Control, Institute for Automation Engineering

Prof. Dr. rer. nat. Fred Schaper
Institute for Biology

The course consists of three parts:

• introductory lectures: 11.10.2018
• lectures covering bio(chemical) aspects given by F. Schaper: first third of semester, starting 11.10.2018
• lectures covering theoretical aspects given by E. Bullinger: second and final third of semester

The following topics will be covered in the run of the course:

• What is Systems Biology?
• Biological basics in a nutshell
• Biochemical fundamentals
• Benefits and limitations of mathematical modelling in Biology
• Mathematical models in Systems Biology
• Dynamic modelling of biochemical networks, reaction kinetics
• Model parametrization, simulation and analysis

Here the detailed table of content

• Introduction to mathematical modelling, types of models
• Reactions, flows, stoichiometry, ODE models
• Nonlinear properties of ODE models
• Conserved moieties, elementary modes
• Positive systems
• Sensitivity, robustness
• Kinetic proofreading, optimality in metabolism
• Stochastic models
• Properties of stochastic models
• Spatial and PKPD models
• Population models
• Boolean models
• Discrete-time models, networks
• Summary and Outlook, exam colloquium
• Exam colloquium

PF STK; B5
WPF STK; M
WPF BSYT; B5, B7
IMPRS-Students

All information can be found on the OvGU's elearning site.