End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass spectrometry data Article

Tariq, Usman, Shabbir, Bilal, Saeed, Fahad. (2026). End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass spectrometry data . SCIENTIFIC REPORTS, 16(1), 10.1038/s41598-026-43215-2

cited authors

  • Tariq, Usman; Shabbir, Bilal; Saeed, Fahad

authors

publication date

  • March 13, 2026

published in

keywords

  • Bioinformatics
  • COMPUTATIONAL ANALYSIS
  • Deep learning
  • IDENTIFICATION
  • Mass spectrometry
  • Multidisciplinary Sciences
  • SEARCH
  • SHOTGUN PROTEOMICS
  • SPECTRA
  • Science & Technology
  • Science & Technology - Other Topics
  • TANDEM
  • Uncertainty

Digital Object Identifier (DOI)

publisher

  • NATURE PORTFOLIO

volume

  • 16

issue

  • 1