GPMsDB-tk
GPMsDB-tk provides a genomically predicted protein mass database and matching workflow to identify bacterial and archaeal isolates from Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) by predicting protein masses from nearly 200,000 publicly available genomes.
Key Features:
- Database scope: Built from predicted protein masses derived from nearly 200,000 publicly available genomes.
- Predicted-mass matching: Matches MALDI-TOF MS spectra to predicted protein masses rather than relying solely on reference spectral libraries.
- Taxonomic resolution: Enables taxonomic identification of bacteria and archaea at species level and below from measured spectra.
- High accuracy: Demonstrated correct identification of over 90% of measured spectra at species level and below.
- Metagenome integration: Supports incorporation of metagenome-assembled genomes to expand identification of uncultured strains and complex-sample isolates (e.g., mouse feces).
- Broad-spectrum identification: Extends identification capacity to diverse and uncultured microbial isolates not well represented in traditional spectral libraries.
Scientific Applications:
- Metagenomics and environmental microbiology: Identification of uncultured strains and community profiling from metagenomic samples and complex matrices.
- Clinical diagnostics: Species-level microbial identification from MALDI-TOF MS spectra for diagnostic workflows.
- Food safety testing: Detection and taxonomic assignment of bacteria and archaea relevant to food safety monitoring.
- Biotechnology research: Characterization of microbial isolates and discovery of novel strains using predicted-mass matching.
Methodology:
Predict protein masses from genomic sequences, compile them into a large-scale database derived from nearly 200,000 publicly available genomes (including metagenome-assembled genomes), and match MALDI-TOF MS spectra to the predicted masses for taxonomic identification.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 8/20/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Sekiguchi Y, Teramoto K, Tourlousse DM, Ohashi A, Hamajima M, Miura D, Yamada Y, Iwamoto S, Tanaka K. A large-scale genomically predicted protein mass database enables rapid and broad-spectrum identification of bacterial and archaeal isolates by mass spectrometry. Genome Biology. 2023;24(1). doi:10.1186/s13059-023-03096-4. PMID:38049850. PMCID:PMC10696839.