An Agent-Based Lattice Model for the Emergence of Anti-Microbial Resistance

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Abstract

This work introduces a new probabilistic agent-based lattice model for studying the emergence of anti-microbial resistance (AMR) and proposes a new proxy to measure it: the average death probability of the population under the action of the AMD. Both analytical studies and computer simulations of the microscopic behaviour of a bacterial culture interacting with anti-microbial drugs on a discrete lattice are carried out by focusing on the dynamics of this quantity. A unique genotype-phenotype map and classes of AMDs follow as emergent properties and their effects on the possible reversal of resistance are analysed. We also discuss briefly the possibility of using machine learning techniques to learn the model parameters.
Original languageEnglish
Article number110080
JournalJournal of Theoretical Biology
Volume486
Early online date12 Nov 2019
DOIs
Publication statusPublished - 7 Feb 2020

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Bibliographical note

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Perceptron
  • Probabilistic model
  • Resistance reversal
  • Single-drug protocol

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