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Article

A random forest model based on core genome allelic profiles of MRSA for penicillin plus potassium clavulanate susceptibility prediction.

Microbial genomics - 1 Sept 2021

Zhuang Hemu, Zhu Feiteng, Lan Peng, Ji Shujuan, Sun Lu, Chen Yiyi, Wang Zhengan, Jiang Shengnan, Zhang Linyue, Zhu Yiwei, Jiang Yan, Chen Yan, Yu Yunsong

Abstract excerpt

Treatment failure of methicillin-resistant Staphylococcus aureus (MRSA) infections remains problematic in clinical practice because therapeutic options are limited. Penicillin plus potassium clavulanate combination (PENC) was shown to have potential for treating some MRSA infections. We investigated the susceptibility of MRSA isolates and constructed a drug susceptibility prediction model for the phenotype of the...

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Identifiers

PMID: 34554083
DOI: 10.1099/mgen.0.000610
PMCID: PMC8715440

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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