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:

Perez-Riverol, Y, Gatto, L, Wang, R, Sachsenberg, T, Uszkoreit, J, Leprevost, F, Fufezan, C, Ternent, T, Eglen, SJ, Katz, DS, Pollard, TJ, Konovalov, A, Flight, RM, Blin, K, and Vizcaino, JA (2016). Ten Simple Rules for Taking Advantage of git and GitHub. bioRxiv.

Ranninger, C, Schmidt, LE, Rurik, M, Limonciel, A, Jennings, P, Kohlbacher, O, and Huber, CG (2016). Improving global feature detectabilities through scan range splitting for untargeted metabolomics by high-performance liquid chromatography-Orbitrap mass spectrometry. Anal. Chim. Acta, 930:13-22.

Recent news:

Foodomics: Metabolomics reveals where asparagus was grown: It is that time of the year - asparagus time. Notargeted metabolomics permits a more detailed analysis of food than classical methods.

Forensic Proteomics : Analyzing the protein residues sticking to bullets can reveal what organs were crossed by a projectile - a case for forensic proteomics.