Technische Universität München - Physik - Prof. Dr. Martin Zacharias

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Homepage Prof. Fischer

Biomolecular Dynamics ( T38 )

Street Address:

Technische Universität München
Physik-Department (T38)
James-Franck-Str. 1
85748 Garching
Germany

Head

Dr. Martin Zacharias
(Professor of Theoretical Biophysics)

Telephone: +49 89 289 12335
E-mail: martin.zacharias@ph.tum.de
Office: Physik I, Room 2077

Group Members

Members:
Christian Beier  (Postdoctoral Fellow)  (Room: 2073, Tel.: +4989289 12732)
Marco Klähn  (Postdoctoral Fellow)  (Room: 2061, Tel.: +4989289 13766)
Aliaksei Krukau  (Postdoctoral Fellow)  (Room: 2069, Tel.: +4989289 12730)
Piotr Setny  (Postdoctoral Fellow)  (Room: 2059, Tel.: +4989289 13768)
Sjoerd de Vries  (Postdoctoral Fellow)  (Room: 2069, Tel.: +4989289 12730)
Mahmut Kara  (PhD student)  (Room: 2073, Tel.: +4989289 12732)
Alexander Knips  (PhD student)  (Room: 2071, Tel.: +4989289 12731)
Giuseppe La Rosa  (PhD student)  (Room: 2701)
Simon Leis  (PhD student)  (Room: 2059, Tel.: +4989289 13768)
Katja Ostermeir  (PhD student)  (Room: 2071, Tel.: +4989289 12731)
Sebastian E. Schneider  (PhD student)  (Room: 2071, Tel.: +4989289 12731)

Secretary:
Sonja Ortner (Telephone: +49 89 289 12393)

Former Members:
Ranjit Bahadur  (Postdoctoral Fellow)
Sebastien Fiorucci  (Postdoctoral Fellow)
Srinivasaraghavan Kannan  (Postdoctoral Fellow)
Shide Liang  (Postdoctoral Fellow)
Jeremy Curuksu  (PhD student)
Wook Lee  (Graduate Student)
Zdravko Kochovski  (Graduate Student)
Stefka Tyanova  (Graduate Student)

Research Information

Molecular Simulation of Biomolecule Association and Structure Formation

The function of proteins and nucleic acids in living systems is strongly coupled to the molecular motion and dynamics of these biomolecules. The T38 group uses computer simulation methods to study the structure, function and dynamics of biomolecules. Our goal is to better understand structure formation processes and to elucidate the mechanism of ligand-receptor association in atomic detail. As the main computational technique we employ Molecular Dynamics simulations based on a classical force field to follow molecular motions including the surrounding solvent and ions. This allows us to extract thermodynamic and kinetic properties of the biomolecular system using methods of statistical mechanics. We also develop computational docking approaches to predict how proteins interact with other proteins or RNA and DNA molecules or how small drug-like compounds bind to biomolecular targets.