Major project for Munich neurosciences In a joint large-scale project, Munich scientists from proteomics, computer science and medicine investigate the causes of disorders of the central nervous system, how they can be diagnosed and how treatment response can be monitored. To this end, the Federal…
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ProteomicsDB (https://www.ProteomicsDB.org) started as a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. The data types and contents grew over time to include RNA-Seq expression data, drug-target interactions and…
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Prosit (https://www.proteomicsdb.org/prosit/) is a deep learning framework that offers free and easy generation of custom in-silico spectral libraries using very high quality predicted HCD MS2 spectra for any organism and protease as well as iRT prediction.
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We describe and evaluate a robust and cost-effective protocol for TMT labeling that reduces the quantity of required labeling reagent by a factor of eight and achieves complete labeling.
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We are very happy to announce that Jana Zecha has been awarded the MCP early-career award by Molecular & Cellular Proteomics and is recognized as a rising star in proteomics. Congratulations!
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We are very excited to announce that Bernhard Küster and the lab have been awarded an ERC advanced grant for "Exploiting the Tumor Proteome Activity Status for Future Cancer Therapies".
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