Lecture: Method Course: Computational Biophysics - Details

Lecture: Method Course: Computational Biophysics - Details

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General information

Course name Lecture: Method Course: Computational Biophysics
Semester SS 2023
Current number of participants 8
maximum number of participants 15
Home institute Computational Biology
Courses type Lecture in category Teaching
First date Monday, 17.04.2023 10:00 - 11:30, Room: (2004 T)
Participants This method course is intended for master students of physics and materials science.
If you are interested in participating and all places seem to be taken, please let us know so that we can see whether we can fit you in.
Pre-requisites Knowledge of classical mechanics on the bachelor level is expected.
Learning organisation The method course will consist of lectures and a practical part. The lectures will provide an introduction to computational biophysics. In the practical course the students learn to model biological systems and to run molecular dynamics simulations.
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile Yes
Hauptunterrichtssprache englisch
Literaturhinweise • Daniel M. Zuckerman, Statistical Physics of Biomolecules (2010 by Taylor and Francis Inc.)
• Ken Dill and Sarina Bromberg, Molecular Driving Forces (2012 by Taylor and Francis Inc; 2nd edition)
• Daan Frenkel and Berend Smit, Understanding Molecular Simulation (2002 by Elsevier, 2nd edition)
Miscellanea Auf Nachfrage kann die Vorlesung im Hybrid-Format angeboten werden.

Rooms and times

(2004 T)
Monday: 10:00 - 11:30, weekly (12x)
(448 S)
Monday: 12:30 - 15:30, weekly (12x)

Module assignments

Comment/Description

Life relies on the interactions of proteins, nucleic acids, lipids and other biomolecules. This course introduces computational methods to study the structure, dynamics and mechanics of these biomolecules. In the first part of the course, the physics behind biomolecular simulations is explained and the basic principles of classical and statistical mechanics are reviewed. In the second part, different simulation techniques are introduced including molecular dynamics simulations and Monte Carlo simulations. Subsequently the methods are applied to biological systems consisting of proteins, nucleic acids and lipids.

Admission settings

The course is part of admission "Beschränkte Teilnehmendenanzahl: Method Course: Computational Biophysics".
The following rules apply for the admission:
  • The enrolment is possible from 22.02.2023, 10:00.
  • A defined number of seats will be assigned to these courses.
    The seats in the affected courses have been assigned at 17.04.2023 on 18:00. Additional seats may be available via a wait list.