|
Lecturer(s)
|
|
|
|
Course content
|
1. Introduction 2. Workflow and network analysis 3. Mathematical modeling 4. TEST 1 5. Top Down and Bottom Up approaches 6. Simple metabolic networks: The lac operon 7. Biological Dynamics and Oscillations 8. TEST 2 9. Chemical Biology and Chemical Genetics 10. Synthetic biology 11. Computer Modeling in Plant Development 12. TEST 3
|
|
Learning activities and teaching methods
|
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
- Attendace
- 36 hours per semester
|
|
Learning outcomes
|
Purpose of the course is to explore multidisciplinarity in modern biological research. Students will get ground knowledge concerning the power of physics in understanding, mathematics in communicating and computational modeling in integrating classical enzymological, molecular and genetic studies to build new regulatory models of biological significance regarding metabolism and homeostasis, cell function and signaling and organismal patterning.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Written exam
Active participation on theoretical lectures and online presentations. During the semester three weeks are reserved for tests on preceding teaching units according to the annotation above. A score of at least 70% is required for successful attendance.
|
|
Recommended literature
|
-
& Choi, S. (2007). Introduction to systems biology. Totowa, NJ: Humana Press.
-
Coruzzi GM, Gutierrez RA, Eds. Plant Systems Biology. Annual Plant Reviews vol. 35. Blackwell Publishing.
-
Davidson EA, Windram OP, Bayer TS. (2012). Building synthetic systems to learn nature's design principles. Adv Exp Med Biol. 751:411-29.
-
Dubitzky W, Southgate J, Fuß H, Edis. Understanding the Dynamics of Biological Systems: Lessons Learned from Integrative Systems Biolog. Springer.
-
Goldbeter A, Gérard C, Gonze D, Leloup JC, Dupont G. (2012). Systems biology of cellular rhythms. FEBS Lett. 586(18):2955-65.
-
Kholodenko BN. (2006). Cell-signalling dynamics in time and space. Nat Rev Mol Cell Biol. 7(3):165-76.
-
Kirschner MW. (2005). The meaning of systems biology. Cell. 20;121(4):503-4.
-
Krawetz S, Ed. Bioinformatics for Systems Biology. Springer, Heidelberg.
-
Munoz-García J, Kholodenko BN. (2010). Signalling over a distance: gradient patterns and phosphorylation waves within single cells. Biochem Soc Trans. 38(5): 1235-41.
|