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Reverse mathematical methods for reconstructing molecular dynamics in single cell

Antimicrobial resistance: modelling the efficacy of antibiotic treatment

speaker: Martin Evans (University of Edinburg)

abstract: In order to combat antibiotic resistance it is important to have a basic understanding of how antibiotics work. In this talk I will describe how coarse-grained statistical physics style models can be used to understand the dynamics of ribosome-targetting antibiotics. Our model reveals a complex interplay exists between physiology and antibiotic action and predicts an emergent classification into bactericidal or bacteriostatic antibiotics which respectively kill microbes or inhibit their growth.The model reveals that growth-dependent susceptibility of bacteria is controlled by a single parameter characterizing the reversibility of antibiotic transport and binding. Remarkably these predictions are quantitatively supported by experimental results.

Reference: Growth-dependent bacterial susceptibility to ribosome-targeting antibiotics<i> Philip Greulich, Matthew Scott, Martin R. Evans, Rosalind J. Allen Molecular Systems Biology 11:796 (2015)

Mon 15 Oct, 12:15 - 13:00, Aula Dini
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