Applied Bioinformatics Group


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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:

Schuster, H, JKP, HB, KR, LB, TB, BN, MWL, DJK, NT, AR, TE, SB, SPH, JSW, BS, SB, DW, OK, FF, HR, SS, AS, and PW (accepted). The immunopeptidomic landscape of ovarian carcinomas. Proc. Natl. Acad. Sci. USA.

Di Marco, M, Schuster, H, Backert, L, Ghosh, M, Rammensee, H, and Stevanovi\'c, S (2017). Unveiling the Peptide Motifs of HLA-C and HLA-G from Naturally Presented Peptides and Generation of Binding Prediction Matrices. The Journal of Immunology.

Recent news:

Medical Informatics Initiative: University of Tübingen partners up with Bavarian universities to establish medical informatics infrastructure for future medicine.

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