Welcome to the Kohlbacher lab!

The group of Oliver Kohlbacher was established in 2003 and is primarily working on computer-aided drug design, immunoinformatics, structural bioinformatics as well as bioinformatics applications in proteomics, metabolomics and systems biology. The group collaborates closely with a large number of experimental groups to gain access to up-to-date and relevant datasets.

Besides classical structural bioinformatics methods, we are focused on the use of combinatorial optimization, graph theoretic approaches and machine learning. To make the methods we develop accessible to a larger audience, we contribute to several larger open-source software projects, e.g., BALL (structural bioinformatics), OpenMS (proteomics) and BN++/BiNA (network analysis).

Some recent publications:

Gehlenborg, N, O'Donoghue, SI, Baliga, NS, Goesmann, A, Hibbs, MA, Kitano, H, Kohlbacher, O, Neuweger, H, Schneider, R, Tenenbaum, D, and Gavin, A (2010). Visualization of omics data for systems biology. Nat. Methods.

Röttig, M, Rausch, C, and Kohlbacher, O (2010). Combining Structure and Sequence Information Allows Automated Prediction of Substrate Specificities within Enzyme Families. PLoS Comput. Biol., 6(1):e1000636.

Recent news:

BALL/BALLView 1.3.1 released: We are happy to announce BALL 1.3.1, a bugfix release together with a first alpha version of BALLView 2.0. BALLView 2.0 features real-time ray tracing for molecular visualization for the first time.

BALLView goes SecondLife: OpenMol, a project of Helmut Prendinger's group in Tokyo, builds on BALLView to bring molecular structures to virtual worlds.