DIA-MS2pep

DIA-MS2pep performs library-free peptide identification directly from data-independent acquisition (DIA) MS/MS spectra to enable comprehensive detection of peptides and their modified forms.


Key Features:

  • Library-free identification: Operates without spectral libraries to enable identification of peptides beyond those cataloged in existing databases.
  • Data-driven MS/MS spectrum demultiplexing: Demultiplexes MS/MS spectra directly from fragment ions without requiring precursor information to handle highly multiplexed DIA spectra.
  • Large precursor mass tolerance database search: Uses a broad precursor mass tolerance during database searches to identify peptides and modified peptide forms.
  • DIA-derived spectral library construction: Builds spectral libraries directly from DIA data to support downstream quantitative analyses.
  • Validated performance: Comparative studies show improved accuracy and sensitivity in peptide identification versus conventional library-free tools and improved quantitative accuracy and reproducibility relative to spectral libraries derived from data-dependent acquisition (DDA).

Scientific Applications:

  • Cellular proteomics: Enables detailed proteomic analysis of cellular samples such as HeLa cell lysates.
  • Phosphoproteomics: Facilitates identification of post-translational modifications including phosphorylation.
  • Clinical and biological fluids analysis: Applicable to plasma samples for applications such as biomarker discovery and disease characterization.
  • Quantitative proteomics: Supports generation of DIA-derived spectral libraries that improve quantitative accuracy and reproducibility.

Methodology:

DIA-MS2pep applies a data-driven algorithm to demultiplex MS/MS spectra from fragment ions without relying on precursor information and performs database searches using large precursor mass tolerances.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Perl
Added:
1/29/2024
Last Updated:
11/24/2024

Operations

Publications

Junjie H, Jifeng W, Fuquan Y, Tao X. DIA-MS2pep: a library-free framework for comprehensive peptide identification from data-independent acquisition data. Biophysics Reports. 2022;8(5-6):253-268. doi:10.52601/bpr.2022.220011. PMID:37287874. PMCID:PMC10166510.