Promising potential of machine learning-assisted MALDI-TOF MS as an effective detector for Streptococcus suis serotype 2 and virulence thereof.
Appl Environ Microbiol
; 89(11): e0128423, 2023 11 29.
Article
em En
| MEDLINE
| ID: mdl-37861326
ABSTRACT
IMPORTANCE To the best of our knowledge, this study reveals a strong correlation between mass spectra pattern and virulence phenotype among S. suis for the first time. In order to make the findings applicable and to excavate the intrinsic information in the spectra, the classifiers based on the machine learning algorithms were established, and RF (Random Forest)-based models have achieved an accuracy of over 90%. Overall, this study will pave the way for virulent SS2 (Streptococcus suis serotype 2) rapid detection, and the important findings on the association between genotype and mass spectrum may provide a new idea for the genotype-dependent detection of specific pathogens.
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Base de dados:
MEDLINE
Assunto principal:
Infecções Estreptocócicas
/
Streptococcus suis
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article