Recursive Attention–Based Prediction of Theoretical MS/MS Spectra From Peptide Sequences

These findings demonstrate that incorporating recursive attention and multi-ion prediction significantly improve both the peak coverage and accuracy of theoretical MS/MS spectrum prediction, thereby enhancing peptide-spectrum fitting and contributing to improved peptide detection sensitivity, making DeepMultiIon a powerful tool for advanced proteomics analysis.

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Publication Details

Journal
Rapid Communications in Mass Spectrometry
Published
2026-01-20
DOI
https://doi.org/10.1002/rcm.70032
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Recursive Attention–Based Prediction of Theoretical MS/MS Spectra From Peptide Sequences

Xuebing Qin, Tao Cui, Di Dong, Changjiu He et al.
Rapid Communications in Mass Spectrometry
Advanced Proteomics Techniques and Applications
article

Recursive Attention–Based Prediction of Theoretical MS/MS Spectra From Peptide Sequences

Xuebing Qin, Tao Cui, Di Dong, Changjiu He, Yudong Lu
article en

Abstract

These findings demonstrate that incorporating recursive attention and multi-ion prediction significantly improve both the peak coverage and accuracy of theoretical MS/MS spectrum prediction, thereby enhancing peptide-spectrum fitting and contributing to improved peptide detection sensitivity, making DeepMultiIon a powerful tool for advanced proteomics analysis.

Rapid Communications in Mass SpectrometryVol. 40(8)
Shandong University of Technology (CN)
Openalex Percentile: Top 84%
Advanced Proteomics Techniques and Applications
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