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.

PMID: 38049850
Funding: - Japan Agency for Medical Research and Development: JP ae0121035h0002