CHIMERYS is an intelligent, AI-powered search algorithm for bottom-up proteomic data analysis. The name "CHIMERYS" originates from its remarkable ability to deconvolute chimeric MS2 spectra, a frequent phenomenon in tandem mass spectrometry, where multiple peptides are co-isolated and co-fragmented due to similar physicochemical properties. CHIMERYS 4 is a spectrum-centric search algorithm compatible with data-dependent acquisition (DDA), data-independent acquisition (DIA), and parallel reaction monitoring (PRM) data. Additionally, it supports a wider range of post-translational modifications (PTMs), including oxidation, phosphorylation, acetylation, ubiquitination, unmodified cysteines, and PreOmics iST NHS.

How to get a CHIMERYS demo?

You can request a free CHIMERYS demo at https://www.msaid.de/chimerys-demo or visit the Proteome Discoverer page at https://www.thermofisher.com/de/de/home/global/forms/industrial/proteome-discoverer-3-chimerys.html. We will send you login credentials with 24 hours of CHIMERYS processing time, which roughly translates to 24 hours of LC-MS/MS measurement time. If you need more time, please do not hesitate to reach out to us via email at info@msaid.de.

Complete FAQ Guide for CHIMERYS

Discover the power of CHIMERYS by checking out our detailed FAQ page at https://www.msaid.de/faq-about-chimerys.

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About MSAID

What drives us

MSAID GmbH [ɛm ɛs eɪd] transforms the way scientists analyze proteomics data. MSAID is a privately-held informatics spin-off from the Chair of Proteomics and Bioanalytics at the Technical University of Munich, Germany. The company was founded by an interdisciplinary team of scientists with the vision to provide better computational solutions to the field of proteomics.

Our Team

Our team members have an exceptionally strong track record and long-standing expertise in the acquisition, analysis, and interpretation of proteomic data. As the leader in proteomics artificial intelligence, we replace current algorithms with powerful, AI-based solutions and pave the way for a deeper, and more reliable way of interrogating proteomics data.