Large-scale mass spectrometry data combined with demographics analysis rapidly predicts methicillin resistance in Staphylococcus aureus.

Journal: Briefings in bioinformatics
Published Date: Jul 20, 2021

Abstract

BACKGROUND: A mass spectrometry-based assessment of methicillin resistance in Staphylococcus aureus would have huge potential in addressing fast and effective prediction of antibiotic resistance. Since delays in the traditional antibiotic susceptibility testing, methicillin-resistant S. aureus remains a serious threat to human health.

Authors

  • Zhuo Wang
    Sichuan Center for Disease Control and Prevention, Chengdu 610500, China.
  • Hsin-Yao Wang
    Department of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
  • Chia-Ru Chung
    Department of Computer Science and Information Engineering, National Central University.
  • Jorng-Tzong Horng
    Department of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
  • Jang-Jih Lu
    Department of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
  • Tzong-Yi Lee

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