WGS to predict antibiotic MICs for Neisseria gonorrhoeae

Abstract

We demonstrate a WGS-based MIC prediction approach that allows reliable MIC prediction for five gonorrhoea antimicrobials. Our approach should allow reasonably precise prediction of MICs for a range of bacterial species.