|
Computational Biophysical Chemistry
|
Hansmann Group
Computers have become a prominent device in the tool box of scientists extending the range of phenomena that can be studied within the framework of physics. An important example are biological molecules and other nanoscale systems. Research in our group focuses on the physics of proteins, "nanomachines" that are responsible for transporting molecules, catalyzing and regulating biochemical reactions in the cell, or as antibodies for fighting infections. As proteins are only functional if they assume specific shapes, it is important to explore how these structures emerge from a protein's chemical composition (the sequence of amino acids as specified in the genome). Such knowledge could not only lead to the rational design of novel drugs, but also to a deeper understanding of various diseases that are caused by misfolding of proteins.
Computer simulations offer one way to explore this sequence-structure
relation but are extremely difficult for realistic protein models with their high
dimensionality and competing interactions. A significant
part of the research in our group aims at overcoming this obstacle through the
development of novel numerical techniques. Some of these advanced algorithms are
implemented in our free software package SMMP.
Click on the picture to see a short movie that visualizes sampling
of protein structures by one of these methods, multicanonical sampling.
In other projects we use these new techniques to probe
the mechanism of folding in small proteins and the conditions
under which proteins mis-fold and aggregate (which is often related to the
outbreak of neurological diseases). For instance, the secondary structure
of the peptide EKAYLRT, shown here in this small movie, depends on its
environment. In the vincinity of a beta-strand it likes to form a strand, too,
while further away (or isolated) it tends to form an alpha-helix.
Protein-ligand binding and protein interaction
networks belong to the same research direction and provide an
interface for collaborations with bioinformatics groups.
While research in our group is mainly concerned with biological systems it also extends into other areas of nanophysics. For instance, we are now interested in the use of proteins for sorting carbon-nanotubes according to their chirality and electronic properties. If successfull this research may open new opportunities in the development of nanoscale electronics.