## Computational Biophysics

**Venue**: Philosophenweg 12, R 105

**Time**: Tuesdays, 15:15 - 16:45

**Prerequisites:**

- Mainly Statistical Physics
- Biological background knowledge will be provided on a case by case basis

**Lecture notes**: Will be published every week once the lectures have started.

The emphasis of this set of lectures is on concepts, models, methods and algorithms. Where needed we will cover the basics of the underlying physics as well as biology to a necessary detail and depth to understand the concepts.

We will cover the following topics:

- Methods (Lectures 1 and 2)
- Diffusion and transport (Lectures 3)
- Reaction-diffusion systems ((Lectures 4))
- Growth models (Lectures 5)
- Pattern and structure formation (Lectures 6)
- Networks (Lectures 7)
- DNA-RNA-protein interaction (Lectures 8)
- Membranes
- Cooperativity
- Population models

**Literature: **

- The Monte Carlo Method in Statistical Physics, K. Binder and D.W. Heermann, 6th Edition, in preparation
- Samuel A. Safran Statistical Thermodynamics of Surfaces, Interfaces and Membranes, Addison- Wesley, Reading, MA, 1994.
- Roland Glaser, Biophysics, New York: Springer, 2001
- Philip Nelson, Biological Physics: Energy, Information, Life, Publisher: W H Freeman and Co, 2003
- You will find more specific literature in the lecture notes