A Model of Antibiotic Resistance Evolution Dynamics Through P Systems with Active Membranes and Communication Rules

In this work we describe a model of antibiotic resistance evolution dynamics based on a membrane computing approach. The model was implemented in a simulator tool first proposed in [3], with a naive set of rules and characteristics. In this paper, we describe the improvements over the first version...

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Bibliographic Details
Published inEnjoying Natural Computing Vol. 11270; pp. 33 - 44
Main Authors Baquero, Fernando, Campos, Marcelino, Llorens, Carlos, Sempere, José M.
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Online AccessGet full text
ISBN9783030002640
3030002640
ISSN0302-9743
1611-3349
1611-3349
DOI10.1007/978-3-030-00265-7_3

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Summary:In this work we describe a model of antibiotic resistance evolution dynamics based on a membrane computing approach. The model was implemented in a simulator tool first proposed in [3], with a naive set of rules and characteristics. In this paper, we describe the improvements over the first version of the model, we introduce new P system rules to manage all the elements of the system, and we explain a scenario in order to illustrate the experiments that can be carried out in the proposed framework.
ISBN:9783030002640
3030002640
ISSN:0302-9743
1611-3349
1611-3349
DOI:10.1007/978-3-030-00265-7_3