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May 22, 2026Periodicals of Engineering and Natural Sciences (PEN)Open Access

Modeling and Simulation of the Resistance of Bacteria toAntibiotics

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Authors

CBCenab Batu BoraAmerican Academy of Arts and SciencesSESevcan EmekManisa Celal Bayar UniversityVEVedat EvrenEge University

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Implication

Modeling investigates antibiotic resistance effects in bacterial infections, suggesting a serious health threat.

Key Points

  • The central aim is to explore the complex interactions between bacteria, immune cells, and antibiotics to understand antibiotic resistance.
  • An agent-based simulation was developed using Repast Simphony 2.1 to model interactions among bacteria, immune cells, and antibiotics.
  • Observational analysis focused on the effects of antibiotic resistance in the infection process.
  • Increased levels of antibiotic resistance were observed to significantly threaten the effectiveness of current treatment methods.
  • The simulation indicated prolonged infections and increased treatment costs due to antibiotic resistance.

Cite This Study

Bora et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff452d674f7c03778d8d1https://doi.org/10.21533/pen.v5.i3.2039
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Modeling the Effects of Over and Under Doses Antibiotic Treatment to Bacterial Resistance in Presence of Immune System2025
  2. 2Impact of Resistance Development Mechanisms on Antibiotic Treatment Outcomes2025
  3. 3Analysis of Bacteria Resistance Using the Resonant Recognition Model2026
  4. 4Developing Bacterial Resistance to Antibiotics: A Laboratory Activity2025
  5. 5Theoretical considerations and empirical predictions of the pharmaco- and population dynamics of heteroresistance2024 · 13 citations