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Simulating Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model

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Simulating Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model

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dc.contributor.author Campos Frances, Marcelino es_ES
dc.contributor.author Capilla, Rafael es_ES
dc.contributor.author Naya, Fernando es_ES
dc.contributor.author Futami, Ricardo es_ES
dc.contributor.author Coque, Teresa es_ES
dc.contributor.author Moya, Andrés es_ES
dc.contributor.author Fernández-Lanza, Val es_ES
dc.contributor.author Cantón, Rafael es_ES
dc.contributor.author Sempere Luna, José María es_ES
dc.contributor.author Llorens, Carlos es_ES
dc.contributor.author Baquero, Fernando es_ES
dc.date.accessioned 2020-04-06T08:56:01Z
dc.date.available 2020-04-06T08:56:01Z
dc.date.issued 2019-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140197
dc.description.abstract [EN] Membrane computing is a bio-inspired computing paradigm whose devices are the so-called membrane systems or P systems. The P system designed in this work reproduces complex biological landscapes in the computer world. It uses nested "membrane-surrounded entities" able to divide, propagate, and die; to be transferred into other membranes; to exchange informative material according to flexible rules; and to mutate and be selected by external agents. This allows the exploration of hierarchical interactive dynamics resulting from the probabilistic interaction of genes (phenotypes), clones, species, hosts, environments, and antibiotic challenges. Our model facilitates analysis of several aspects of the rules that govern the multilevel evolutionary biology of antibiotic resistance. We examined a number of selected landscapes where we predict the effects of different rates of patient flow from hospital to the community and vice versa, the cross-transmission rates between patients with bacterial propagules of different sizes, the proportion of patients treated with antibiotics, and the antibiotics and dosing found in the opening spaces in the microbiota where resistant phenotypes multiply. We also evaluated the selective strengths of some drugs and the influence of the time 0 resistance composition of the species and bacterial clones in the evolution of resistance phenotypes. In summary, we provide case studies analyzing the hierarchical dynamics of antibiotic resistance using a novel computing model with reciprocity within and between levels of biological organization, a type of approach that may be expanded in the multilevel analysis of complex microbial landscapes. es_ES
dc.description.sponsorship This work was supported by the European Commission, Seven Framework Program (EVOTAR; FP7-HEALTH-282004) to F. Baquero, T. Coque, V. Fernandez-Lanza, and M. Campos; the Instituto de Salud Carlos III of Spain (Plan Estatal de I+D+i 2013-2016, grant PI15-00818 and FIS18-1942; CIBERESP, grant CB06/02/0053, and the EU Joint Programming Initiative JPIAMR2016-AC16/00036 to F. Baquero; the Regional Government of Madrid (InGEMICS-C; S2017/BMD-3691) to T. Coque and F. Baquero; and SAF2015-65878-R (MINECO, Spain) and PrometeoII/2014/065 (Generalitat Valenciana, Spain) to A. Moya (all cofinanced by the European Development Regional Fund [ERDF] "A Way to Achieve Europe"). es_ES
dc.language Inglés es_ES
dc.publisher American Society for Microbiology es_ES
dc.relation.ispartof mBio es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Antibiotic resistance es_ES
dc.subject Membrane computing es_ES
dc.subject Multilevel es_ES
dc.subject Computer modeling es_ES
dc.subject Mathematical modeling es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Simulating Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1128/mBio.02460-18 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/282004/EU/Evolution and Transfer of Antibiotic Resistance/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//SAF2015-65878-R/ES/ESTABILIDAD, RESILIENCIA Y REDUNDANCIA FUNCIONAL DE LA MICROBIOTA INTESTINAL HUMANA DURANTE EL DESARROLLO Y EN RESPUESTA AL ESTRES ANTIBIOTICO Y A CLOSTRIDIUM DIFFICILE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//PI15%2F00818/ES/Desarrollo de un simulador computacional de membranas para el estudio de la dinámica trans-jerárquica en la evolución de resistencia bacteriana a los antibióticos./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F065/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//FIS18-1942/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CIBER-BBN//CB06%2F02%2F0053/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CAM//S2017%2FBMD-3691/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//AC16%2F00036/ES/DEVELOPMENT OF BIODEGRADABLE POLYMERIC NANOPARTICLES FOR CONTROLLED RELEASE OF ANTI-GLAUCOMA AGENTS. IN-VITRO & IN-VIVO EVALUATION OF THEIR SAFETY AND EFFICACY./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Campos Frances, M.; Capilla, R.; Naya, F.; Futami, R.; Coque, T.; Moya, A.; Fernández-Lanza, V.... (2019). Simulating Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model. mBio. 10(1):1-17. https://doi.org/10.1128/mBio.02460-18 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1128/mBio.02460-18 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2150-7511 es_ES
dc.relation.pasarela S\394717 es_ES
dc.contributor.funder Comunidad de Madrid es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina es_ES
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