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