Ribopeaks

Ribopeaks classifies bacteria from MALDI-TOF MS mass-to-charge (m/z) spectra by matching ribosomal protein-derived peaks to machine-learning models built from GenBank r-protein data.

Key Features:

• MALDI-TOF MS compatibility: Processes mass-to-charge (m/z) spectra acquired by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS).
• Ribosomal protein targeting: Targets highly abundant bacterial ribosomal proteins (r-proteins) as discriminative mass spectral markers.
• GenBank-derived database: Uses an r-protein reference database compiled from GenBank containing over 28,500 bacterial taxonomic records.
• Machine learning model generation: Generates classification models using machine learning techniques.
• Spectral comparison and classification: Performs taxonomic classification by comparing incoming m/z spectra to stored machine-learning models.
• Expanded taxonomic coverage: Extends classification beyond clinical isolates by incorporating environmental bacterial records.

Scientific Applications:

• Bacterial taxonomic identification: Assigns taxonomic identities to bacterial isolates based on r-protein mass spectra.
• Environmental microbiology: Enables classification of environmental bacteria underrepresented in clinical spectral databases.
• Clinical diagnostics: Supports bacterial identification in clinical diagnostics using MALDI-TOF MS spectra.
• Microbial ecology and biodiversity: Facilitates studies of microbial diversity and distribution through r-protein-based spectral identification.

Methodology:

Detects abundant bacterial proteins including r-proteins by MALDI-TOF MS to obtain m/z spectra, compiles r-protein data from GenBank (~28,500 records) to build reference models, generates models using machine learning techniques, and classifies incoming m/z spectra by comparison to these models.