Simulation Model of Bacterial Resistance to Antibiotics Using Individual-Based Modeling
Authored by Joonyeon Park, Myeongji Cho, Hyeon S Son
DOI: 10.1089/cmb.2018.0064
Sponsors:
Korean National Research Foundation (NRF)
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Model Documentation:
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Abstract
We designed and implemented simulation models of bacterial growth and
antibiotic resistance to determine the appropriate antibiotics to use
against antibiotic-resistant bacteria. Simulation models were designed
using individual-based modeling, and a simulation tool, ARSim, was
developed to conduct experiments using the models. Simulations of
bacterial growth were conducted by virtually growing Klebsiella
pneumoniae bacteria in a virtual environment with predefined parameters.
Other experiments included predicting the effects of antibiotics when
added to two different groups, one group of nonresistant bacteria and
another group of both resistant and nonresistant bacteria. Carbapenem
class antibiotics such as Imipenem were used for the simulation. The
simulation results showed that the biological principles of bacteria and
their antibiotic resistance mechanisms were correctly designed and
implemented. Using the computational approaches developed in this study,
we hope to provide researchers with a more effective method for finding
new ways to fight antibiotic resistance.
Tags
Individual-based modeling
Simulation model
antibiotic resistance
Populations
System
Antibiotic-resistant bacteria
Computer
simulation
Klebsiella-pneumoniae
Global spread