Novor

Novor performs de novo peptide sequencing from tandem mass spectrometry (MS/MS) data to rapidly infer peptide sequences for proteomics analyses.

Key Features:

• Enhanced Accuracy: Scoring functions are derived from two decision trees trained by machine learning on a peptide spectral library containing over 300,000 spectra to capture peptide fragmentation patterns.
• Improved Speed: A two-stage algorithmic approach combining dynamic programming with refinement processes is implemented and optimized to sequence more than 300 MS/MS spectra per second on standard laptop hardware.
• Real-Time Sequencing Capability: The processing throughput enables de novo sequencing concurrently with spectral acquisition, supporting real-time analysis of MS/MS data.

Scientific Applications:

• Novel peptide identification: De novo sequencing of MS/MS spectra to infer peptide sequences not present in reference databases.
• Protein discovery: Discovery of new proteins through identification of inferred peptide sequences lacking database matches.
• Post-translational modification detection: Support for identification of peptides that indicate post-translational modifications via de novo sequence evidence.
• Dynamic experimental workflows: Real-time sequencing to provide immediate peptide sequence information during experiments requiring rapid feedback.

Methodology:

Scoring functions are produced from two decision trees trained by machine learning on a peptide spectral library (>300,000 spectra), and sequencing is performed by a two-stage algorithm that combines dynamic programming with refinement processes, with an optimized implementation achieving >300 MS/MS spectra per second to enable real-time analysis.