HyPep

HyPep performs sequence-homology searches by aligning de novo peptide sequences from PEAKS against experimentally constructed neuropeptide databases to identify and discover neuropeptides.

Key Features:

• Sequence Homology Search: Aligns de novo peptide sequences produced by PEAKS to neuropeptide database sequences and identifies peptides based on alignment scores.
• Optimized Performance: Performance was optimized and validated using liquid chromatography-tandem mass spectrometry (LC-MS/MS) measurements of peptide extracts from neuronal tissues of Callinectes sapidus.
• Superior Identification Capability: Identifies more neuropeptides per tissue than PEAKS DB at a 1% false discovery rate while maintaining a low false match rate of 2%.
• Discovery Potential: Aids discovery of novel neuropeptides beyond matching to known database entries.

Scientific Applications:

• Neuropeptide identification: Identification and characterization of neuropeptides in neurobiology and peptide research using de novo sequencing data.
• Tissue-based peptide profiling: Analysis of complex neuronal tissue samples, including LC-MS/MS-derived peptide extracts from Callinectes sapidus, for comprehensive peptide detection.
• Novel peptide discovery: Discovery of previously unreported neuropeptides by matching de novo sequences to experimentally constructed neuropeptide databases.

Methodology:

HyPep performs sequence-homology database searches by aligning de novo PEAKS-derived peptide sequences to neuropeptide database sequences and identifies matches based on alignment scores.