Simulation Model of Bacterial Resistance to Antibiotics Using Individual-Based Modeling
| Autor: | Myeongji Cho, Joonyeon Park, Hyeon S. Son |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Models Statistical medicine.drug_class 030106 microbiology Antibiotics Enterobacteriaceae Infections Bacterial growth Biology biology.organism_classification Anti-Bacterial Agents Microbiology 03 medical and health sciences Computational Mathematics Individual based Carbapenem-Resistant Enterobacteriaceae 030104 developmental biology Antibiotic resistance Computational Theory and Mathematics Modeling and Simulation Genetics medicine Humans Computer Simulation Molecular Biology Bacteria |
| Zdroj: | Journal of Computational Biology. 25:1059-1070 |
| ISSN: | 1557-8666 |
| DOI: | 10.1089/cmb.2018.0064 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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