pyAscore

pyAscore implements the Ascore algorithm to score and localize post-translational modifications (PTMs) on peptides from mass spectrometry data, supporting accurate PTM site assignment in proteomics research.


Key Features:

  • Ascore algorithm implementation: Implements the Ascore algorithm to score PTM localization on peptides derived from mass spectrometry data.
  • Compatibility with standard formats: Accepts standard file formats from widely used proteomics tools for bottom-up proteomics studies.
  • Internal peptide objects: Provides access to internal objects for scoring and manipulating modified peptides.

Scientific Applications:

  • PTM localization in proteomics: Enables precise scoring of PTM sites on peptides for accurate localization in proteomic studies.
  • Protein function and mechanism studies: Supports analyses linking modification sites to protein function and molecular mechanisms.
  • Disease mechanism and therapeutic research: Supports investigation of disease mechanisms and therapeutic development by enabling mapping of PTM changes.

Methodology:

Based on the Ascore algorithm, which quantitatively assesses PTM localization likelihood using mass spectrometry data; facilitates analysis of complex proteomic datasets to interpret protein modification dynamics.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
1/20/2023
Last Updated:
11/24/2024

Operations

Publications

Barente AS, Villén J. A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data. Journal of Proteome Research. 2022;22(2):501-507. doi:10.1021/acs.jproteome.2c00194. PMID:36315500. PMCID:PMC9898206.

PMID: 36315500
PMCID: PMC9898206
Funding: - National Institute on Aging: R01AG056359 - National Institute of General Medical Sciences: R35GM119536