SimPhospho

SimPhospho simulates phosphopeptide tandem mass spectra to generate spectral libraries that improve confidence in phosphosite assignment in mass spectrometry-based phosphoproteomics.


Key Features:

  • Phosphopeptide spectrum simulation: Simulates tandem mass spectra of phosphopeptides with reported high sensitivity and precision.
  • Spectral library generation: Produces simulated phosphopeptide spectral libraries for use in validation workflows.
  • Database search augmentation: Uses simulated spectra to validate and augment database search results for phosphoproteome identification.
  • Phosphosite confirmation: Enables confirmation of site-specific phosphorylation events on peptides.
  • Pipeline integration: Supports integration with the Trans-Proteomic Pipeline for incorporation into proteomics workflows.

Scientific Applications:

  • Phosphosite assignment validation: Improves accuracy and confidence in assigning phosphorylation sites from mass spectrometry data.
  • Spectral library-based identification: Augments database search results by providing reference spectra for phosphorylated peptides.
  • Study of phosphorylation dynamics: Facilitates confirmation of site-specific phosphorylation events relevant to cellular signaling pathways.

Methodology:

Simulates phosphopeptide tandem mass spectra and generates simulated phosphopeptide spectral libraries, which are used to validate and augment database search results and integrate with the Trans-Proteomic Pipeline.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++
Added:
7/6/2019
Last Updated:
11/24/2024

Operations

Publications

Suni V, Suomi T, Tsubosaka T, Imanishi SY, Elo LL, Corthals GL. SimPhospho: a software tool enabling confident phosphosite assignment. Bioinformatics. 2018;34(15):2690-2692. doi:10.1093/bioinformatics/bty151. PMID:29596608. PMCID:PMC6061695.

PMID: 29596608
PMCID: PMC6061695
Funding: - KAKENHI: JP16K08206 - Academy of Finland: 128712, 304995, 310561 - Nordforsk: 070325

Documentation