Authors:
James T. Murphy
1
;
Ray Walshe
1
and
Marc Devocelle
2
Affiliations:
1
Dublin City University, Ireland
;
2
Royal College of Surgeons in Ireland, Ireland
Keyword(s):
Agent-based model, Antibiotic resistance, Pro-drug, Bacteria, Simulation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Pharmaceutical Applications
;
Simulation
;
Systems Biology
Abstract:
This article documents simulations using an agent-based modelling approach to analyse the system dynamics of the b-lactamase-dependent therapeutic activation pro-drug delivery system, a novel approach for achieving selective release of anti-microbial drugs for treating antibiotic-resistant bacteria. It is thought that this strategy could be a promising approach for treating b-lactamase over-expressing strains of bacteria that are resistant to traditional b-lactam antibiotics such as penicillin. Test simulations were carried out to investigate the prodrug system from a theoretical standpoint and assess the effects of key parameters such as half-life, diffusion rate and reaction kinetics on the system behaviour. It is important to obtain a thorough understanding of the complex interplay between the various components involved in the pro-drug delivery system to be able to interpret results from laboratory testing, and ultimately, from the clinical setting. The agent-based model describe
d here represents an important stepping stone in connecting the theoretical and practical understanding of the system as a whole.
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