Biophysical Society Thematic Meeting | Stockholm 2022

Physical and Quantitative Approaches to Overcome Antibiotic Resistance

Wednesday Speaker Abstracts

PREDICTING AND INVERTING ANTIBIOTIC RESISTANCE Roy Kishony ; 1 Technion- Israel Institute of Technology, Biology, Haifa, Israel

Antibiotic resistance is growing as a major public health concern. Predicting antibiotic resistance and the evolutionary paths leading to resistance is key for our ability to control the spread of drug resistant pathogens. I will describe a series of experimental-computational methodologies for following and identifying recurrent patterns in the evolution of antibiotic resistance in the lab and in the clinic. Combined with machine-learning approaches applied to electronic patient records, these tools can lead to predictive diagnostics of antibiotic resistance and personalized treatments of microbial infections.

STEERING BACTERIAL PATHOGENS THROUGH THE PHENOTYPE SPACE OF MULTIDRUG RESISTANCE Kevin Wood University of Michigan, USA No Abstract

PLUGGING TOLC ANTIBIOTIC EFFLUX Joanna Slusky, University of Kansas, USA No Abstract

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