The research area Proteomics focuses on the analysis of proteins and peptides in biological data sets. Proteins are essential building blocks for every living organism and over the last years, mass spectrometry has become the method of choice for the analysis of those. To understand and investigate cell processes or gain new insights in illnesses triggered by certain proteins or the absence or oversupply of those, the identification and quantification of proteins in the tissue is of primary importance. Since 2011 and in close collaboration with the Mechtler group at the IMP, Vienna, our research group has focused on the area of computational proteomics and therein on the development of algorithms to identify proteins and peptides in biological samples. This has led to the emergence of the MS Amanda algorithm, a database search engine especially designed for high resolution data sets and perfectly capable of identifying chimeric spectra. In addition, we are currently working on a library search engine, MS Ana, that is able to identify peptides based on a previously created library of mass spectra with known peptide identifications. To complement that, also a search engine for the identification of peptides connected with a cleavable cross-linker, called MS Annika, is in progress.



Selected Publications

2019 Sebastian Dorl, Stephan M. Winkler, Karl Mechtler, and Viktoria Dorfer: MS Ana: A Spectral Library Search Engine Optimized for High-Accuracy Fragment Ion Data European Bioinformatics Community (EuBIC) Winter School 2019
2014 Viktoria Dorfer, Peter Pichler, Thomas Stranzl, Johannes Stadlmann, Thomas Taus, Stephan M. Winkler, and Karl Mechtler: MS Amanda, a Universal Identification Algorithm Optimized for High Accuracy Tandem Mass Spectra Journal of Proteome Research , Vol. 13 , pp. 3679-84

Selected Projects


The project SESAM is sponsored by the FWF (within the translational research programme) and executed as joint basic research project of the group of Karl Mechtler at IMP Vienna and members of the Bioinformatics Research Group Hagenberg. SESAM continues the research started in the MS Amanda project and pursues the development of the peptide and protein identification algorithm MS Amanda.

Within this project we focus on the following aspects:

* Identification of hybrid spectra

* Consideration of many post-translational modifications

* Extraction of features for characterizing tandem mass spectra


The implementation of MS Amanda for Proteome Discoverer can be found online:


Prof.(FH) DI Dr. Stephan Winkler


DI(FH) Viktoria Dorfer MSc

Sebastian Dorl MSc


2013 - present

Research Areas



Research Institutions

Research Center Hagenberg

University of Applied Sciences, Upper Austria, Hagenberg Campus

Research focus

Software technology and application

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