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Biomolecular  Dynamics   ( T38 )

Street Adress:
 
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)
Srinivasaraghavan Kannan  (Postdoctoral Fellow)  (Room: 2059, Tel.: +4989289 13768)
Piotr Setny  (Postdoctoral Fellow)  (Room: 2059, Tel.: +4989289 13768)
Mahmut Kara  (PhD student)  (Room: 2073, Tel.: +4989289 12732)
Simon Leis  (PhD student)  (Room: 2071, Tel.: +4989289 12731)
Sebastian E. Schneider  (PhD student)  (Room: 2071, Tel.: +4989289 12731)

Secretary:
Jill Seidlitz  (Telephone: +49 89 289 12393)

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

  Research Information


Computer simulation of biomolecular association and conformational flexibility

The Computational Biology group uses computer simulation methods to study the structure, function and dynamics of biomolecules. Our goal is to better understand structure formation of biomolecules and the mechanism of ligand-receptor association. Current research areas include the conformational analysis and structure prediction of nucleic acid motifs and the characterisation of nucleic acid conformational flexibility. This involves the application of molecular dynamics simulation methods and of approaches to induce conformational deformations in biomolecules allowing also to record associated free energy changes. The induced conformational changes correspond for example to groove deformations of DNA. Such deformations play a major role during the process of protein-DNA association. The simulation studies aim at better understanding the contribution of conformational flexibility to the recognition process and how it is influenced by the nucleic acid sequence. Focus of a second project is to improve computational ligand-receptor docking approaches with an emphasis on better accounting for conformational flexibility and biomolecule solvation. The prediction of putative ligand binding geometries and binding sites on a biomolecule is a major goal of bioinformatics. Most existing approaches neglect receptor flexibility during docking. Our approaches aim at identifying a few soft flexible degrees of freedom of a biomolecule (e.g. domain-domain motions) and to include these during docking. Applications include protein-small ligand interactions and protein-protein association.
Hot Papers
D. Roccatano, A. Barthel and M. Zacharias, Biopolymers (2007)


Structural flexibility of the nucleosome core particle at atomic resolution studied by molecular dynamics simulation.   
F. Sieker, S. Springer, and M. Zacharias, Protein Science (2007)


Comparative molecular dynamics analysis of tapasin-depnendent and independent MHC class I alleles.   
S. Kannan, and M. Zacharias, Proteins (2007)


Enhanced sampling of peptide and protein conformations using replica exchange simulations with a peptide backbone biasing-potential.