EasyProt

EasyProt processes MS/MS mass spectrometry data for protein identification, quantification (isobaric labeling and label-free), and characterization of unexpected post-translational modifications.

Key Features:

• Integrated workflow: Provides a computational pipeline from peak list processing through spectra merging, charge-state deconvolution, and protein identification and quantification.
• Protein identification and quantification: Employs OLAV scoring schemes for protein identification and supports isobaric labeling and label-free quantification methods.
• Peak list processing: Processes peak lists for downstream spectral interpretation and identification.
• Isotopic correction: Applies isotopic correction to adjust quantitative measurements for isotopic variations.
• Spectra filtering: Filters spectra to remove noise and non-informative signals prior to identification.
• Charge-state deconvolution: Performs deconvolution of overlapping charge states in mass spectra.
• Spectra merging: Merges multiple spectra datasets to improve data comprehensiveness.
• Post-translational modification characterization: Identifies and characterizes unexpected post-translational modifications from MS/MS data.

Scientific Applications:

• High-throughput proteomics: Enables processing of large MS/MS datasets for comprehensive protein identification and quantification.
• Quantitative proteomics: Supports comparative analyses using isobaric tagging and label-free quantification workflows.
• Post-translational modification discovery: Facilitates detection and characterization of unexpected PTMs in proteomic studies.

Methodology:

Computational methods explicitly include peak list processing, spectra filtering, charge-state deconvolution, spectra merging, isotopic correction, OLAV scoring for protein identification, and procedures for detecting and characterizing unexpected post-translational modifications, with support for isobaric-label and label-free quantification.