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Updated: Jan 31, 2026

Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
Published on: April 4, 2018
Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry
Ngoc Hieu Tran1, Rui Qiao2, Lei Xin3
1David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.
Abstract:
We present DeepNovo-DIA, a de novo peptide-sequencing method for data-independent acquisition (DIA) mass spectrometry data. We use neural networks to capture precursor and fragment ions across m/z, retention-time, and intensity dimensions. They are then further integrated with peptide sequence patterns to address the problem of highly multiplexed spectra. DIA coupled with de novo sequencing allowed us to identify novel peptides in human antibodies and antigens.
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