A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70565813%3A_____%2F25%3AN0000020" target="_blank" >RIV/70565813:_____/25:N0000020 - isvavai.cz</a>
Result on the web
<a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC11785946/pdf/41597_2025_Article_4504.pdf" target="_blank" >https://pmc.ncbi.nlm.nih.gov/articles/PMC11785946/pdf/41597_2025_Article_4504.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-025-04504-z" target="_blank" >10.1038/s41597-025-04504-z</a>

Result language
angličtina
Original language name
A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria
Original language description
Today, MALDI-ToF MS is an established technique to characterize and identify pathogenic bacteria. The technique is increasingly applied by clinical microbiological laboratories that use commercially available complete solutions, including spectra databases covering clinically relevant bacteria. Such databases are validated for clinical, or research applications, but are often less comprehensive concerning highly pathogenic bacteria (HPB). To improve MALDI-ToF MS diagnostics of HPB we initiated a program to develop protocols for reliable and MALDI-compatible microbial inactivation and to acquire mass spectra thereof many years ago. As a result of this project, databases covering HPB, closely related bacteria, and bacteria of clinical relevance have been made publicly available on platforms such as ZENODO. This publication in detail describes the most recent version of this database. The dataset contains a total of 11,055 spectra from altogether 1,601 microbial strains and 264 species and is primarily intended to improve the diagnosis of HPB. We hope that our MALDI-ToF MS data may also be a valuable resource for developing machine learning-based bacterial identification and classification methods.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10606 - Microbiology

Project
<a href="/en/project/VJ01010107" target="_blank" >VJ01010107: Extending and characterizing the collection of high-risk and risk biological causative agents of dangerous infectious diseases and implementing new procedures for working with them</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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