MS-Decipher

MS-Decipher performs identification and analysis of O-glycopeptides from mass spectrometry data to enable O-glycoproteomic characterization and study of glycosylation-related post-translational modifications.

Key Features:

• Advanced Glycoproteomic Analysis: Incorporates specialized algorithms for identification of O-glycopeptides to characterize O-glycosylation patterns.
• Scoring Schemes: Implements two distinct scoring schemes for peptide–spectrum matching to balance sensitivity and confidence in identifications.
• O-Search Mode: Provides an O-Search mode specifically tailored for O-glycoproteomic analysis to enhance O-glycopeptide identification.
• Performance Metrics: Reports ~139.9%, 48.8%, and 6.9% more O-glycopeptide–spectrum matches than Mascot, MetaMorpheus, and MSFragger, respectively.
• Visualization Tools: Includes visualization of O-glycopeptide–spectrum matches to aid interpretation of complex spectra.
• File Format Support: Supports multiple file formats during searching and validation steps.
• Implementation: Implemented in Java for cross-platform compatibility.

Scientific Applications:

• O-glycoproteomic analysis: Identification and characterization of O-glycopeptides and O-glycosylation patterns from proteomic datasets.
• Post-translational modification studies: Characterization of glycosylation as a post-translational modification to study regulatory roles.
• Biomarker discovery: Application in studies seeking disease biomarkers involving glycoproteomic alterations.

Methodology:

Specialized algorithms for O-glycopeptide identification, two peptide–spectrum matching scoring schemes, an O-Search mode for O-glycoproteomic analysis, searching and validation steps accepting multiple file formats, and visualization of O-glycopeptide–spectrum matches; implemented in Java.