Rapid prediction of antibiotic resistance in the Enterobacteriaceae: making use of restricted diversity in mobile resistance gene pools

Funding Activity

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Funded Activity Summary

Immediate treatment of patients suffering life-threatening bacterial infections with effective antibiotics greatly improves their chances of survival, but antibiotic resistance increasingly complicates this treatment. Currently such resistance cannot be detected in time to help decide the best antibiotic to use. We aim to define a small set of the many known antibiotic resistance genes that can be used accurately predict resistance in rapid tests using modern detection systems.

Funded Activity Details

Start Date: 01-01-2013

End Date: 01-01-2016

Funding Scheme: Project Grants

Funding Amount: $385,032.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Infectious Diseases

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

antibiotic resistance | bacterial genetics | bioinformatics | critical care medicine | molecular diagnostics | septic shock