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Leveraging Vet-LIRN AMR data from USA to identify potential drug targets in imipenem-resistant E. coli isolates using interactive GIS dashboards, genomic analysis, subtractive genomics, and druggability assessment

2025-05-16

Abstract excerpt

Background Antimicrobial Resistance (AMR) is a major global health challenge, particularly in Africa, where antibiotic misuse worsens resistance. This study aims to identify potential drug targets in imipenem-resistant E. coli isolates from the Vet-LIRN database through a four-phase approach integrating interactive GIS analysis, genomic data analysis, subtractive genomics, and druggability assessments. Methods Ph...

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Literature Corpus work: 31f2f623-1ff2-5ac4-b3a3-707b8ee29cae
DOI: 10.12688/wellcomeopenres.23819.1

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