CHIMERYS® is a powerful tool for bottom-up proteomics data analysis, specifically for single-shot complete proteome DDA datasets. The algorithm is based on advanced artificial intelligence techniques, specifically deep learning, which allows it to effectively analyze and identify peptides in complex mixtures, even in chimeric spectra. By using CHIMERYS®, researchers can expect to see a significant improvement in the identification rate and number of peptide identifications compared to traditional methods such as Sequest™ HT. The algorithm can double the identification rate and the number of peptide identifications, leading to a 1.5-fold increase in protein group identifications, higher sequence coverage, and more confident quantification.

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ASBMB 2022 | MSAID

An AI-driven leap forward in peptide identification through deconvolution of chimeric spectra

Date: Monday, August 15th

Session: Afternoon session

Chimeric spectra are estimated to constitute >40% of DDA data, violating the assumption that one spectrum represents one peptide. Here, we describe a new intelligent search algorithm (CHIMERYS) that rethinks the analysis of tandem mass spectra from the ground up. It routinely doubles the number of peptide identifications and reaches identification rates of >80%.

14th International Symposium on Mass Spectrometry in the Health and Life Sciences (ASBMB)

August 14 – 18, 2022

At this year's ASBMB, MSAID will present the intelligent search algorithm CHIMERYS and AI-driven applications for proteomics

OUR POSTER PRESENTATION AT ASBMB

An AI-driven leap forward in peptide identification through deconvolution of chimeric spectra

OUR ORAL PRESENTATION AT ASBMB

An AI-driven leap forward in peptide identification through deconvolution of chimeric spectra

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