Resistance Networks

Resistance Networks seeks to measure, predict, and interrupt resistance gene transmission to slow the emergence of antimicrobial resistance. The goal of the Resistance Networks program is to build an epidemiological model that can predict whether a plasmid carrying antibiotic resistance genes (pARG) has epidemic-like potential (R₀ >1) to spread within and between human bacterial networks during and after antibiotic use.

Thrust 1:  Determine, at 80% balanced predictive accuracy, whether antibiotic-amplified pARGs exhibit epidemic-like transmission (R₀ > 1) within and between gut bacterial networks in response to antibiotic use.

Thrust 2: Advance cost-effective tools that enable single-cell sequencing technology to scale measurements of plasmid transmission.

Thrust 3: Test in silico, model-guided key parameters and interventions in controlled in vivo systems, targeting the dominant driver(s) identified by Thrust 1.

Funding: No fixed limit 

Duration: 3 years

Research Authority due date: 15.7.26

Abstract (required) due date: 22.7.26

Full proposal due date: 5.9.26