Applied Bioinformatics Group


A   A   A
Sections

Skip to content. | Skip to navigation

Welcome to the Kohlbacher lab!


Group Photo

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).

Most recent publications:

Deutsch, E, Perez-Riverol, Y, Chalkley, R, Wilhelm, M, Tate, S, Sachsenberg, T, Walzer, M, Käll, L, Delanghe, B, Böcker, S, Schymanski, E, Wilmes, P, Dorfer, V, Kuster, B, Volders, P, Jehmlich, N, Vissers, J, Wolan, D, Wang, A, Mendoza, L, Shofstahl, J, Dowsey, A, Griss, J, Salek, R, Neumann, S, Binz, P, Lam, H, Vizcaíno, J, Bandeira, N, and Röst, H (2018). Expanding the use of spectral libraries in proteomics. Journal of Proteome Research.

Domingo-Calap, P, Schubert, B, Joly, M, Solis, M, Untrau, M, Carapito, R, Georgel, P, Caillard, S, Fafi-Kremer, S, Paul, N, Kohlbacher, O, González-Candelas, F, and Bahram, S (accepted). An unusually high substitution rate in transplant-associated BK polyomavirus in vivo is further concentrated in HLA-C-bound viral peptides. PLoS Pathogens.

Recent news:

Bioinformatics in the Cloud: The German Network for Bioinformatics Infrastructure has been expanded and our lab is coordinating a part of it.

Google Summer of Code 2018 (GSoC): Google accepted O|B|F and NRNB as mentoring organizations. You can apply NOW!