MSFragger

MSFragger performs high-speed peptide-spectrum matching and open database searching to identify peptides and characterize post-translational and chemical modifications in mass spectrometry-based proteomics.

Key Features:

• Fragment-ion Indexing Method: Employs a fragment-ion indexing method that accelerates peptide identification, providing more than a 100-fold improvement in speed compared to many proteome database search tools.
• Open Database Search: Implements open database searches that enable comprehensive identification of peptides and their modified forms across diverse experimental conditions.
• Enhanced Identification Rates: Demonstrates substantial increases in identified spectra, with an average 300% increase reported for enriched proteins in affinity purification experiments.
• Improved False Discovery Rate Estimation: Supports open searching that contributes to more accurate false discovery rate estimation in proteomic analyses.
• Modification Characterization: Detects and characterizes extensive diversity of post-translational and chemical modifications often unaccounted for in standard analyses.

Scientific Applications:

• Proteomic Data Analysis: Analyzing large proteomic datasets to comprehensively identify peptides and their modifications.
• Cross-Linking Experiments: Analysis of protein-RNA cross-linked peptide data to identify cross-linked species.
• Affinity Purification Studies: Increasing identification of enriched proteins in affinity purification experiments, as evidenced by reported increases in identified spectra.

Methodology:

Uses fragment-ion indexing for rapid peptide-spectrum matching and supports open database searches for identification and characterization of modified peptides.