Machine Learning and DIA Proteomics Reveal New Insights into Carbapenem Resistance Mechanisms in Klebsiella pneumoniae

Abstract excerpt

The emergence of Carbapenem-resistant Klebsiella pneumoniae (CRKP) represents a major public health concern, primarily driven by its ability to evade a wide range of antibiotics. Despite extensive genomic studies, proteomic insights into antibiotic resistance mechanisms remain scarce. Here, we employed a Data-Independent Acquisition (DIA)-based quantitative proteomics approach to investigate proteomic differences...

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