Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Barbacari, N., Profir, A., Zelinschi, C.: Gene regulatory network modeling by means of membrane computing. In: Proceedings of the 7th International Workshop on Membrane Computing WMC 2006. LNCS, vol. 4361, pp. 162–178 (2006)
Besozzi, D., Cazzaniga, P., Cocolo, S., Mauri, G., Pescini, D.: Modeling diffusion in a signal transduction pathway: the use of virtual volumes in P systems. Int. J. Found. Comput. Sci. 22(1), 89–96 (2011)
Campos, M.: A membrane computing simulator of trans-hierarchical antibiotic resistance evolution dynamics in nested ecological compartments (ARES). Biol. Direct 10(1), 41 (2015)
Ciobanu, G., Păun, Gh., Pérez-Jiménez, M.J.: Applications of Membrane Computing. Springer, Heidelberg (2006). https://doi.org/10.1007/3-540-29937-8
Colomer, M.A., Margalida, A., Sanuy, D., Pérez-Jiménez, M.J.: A bio-inspired model as a new tool for modeling ecosystems: the avian scavengeras a case study. Ecol. Model. 222(1), 33–47 (2011)
Colomer, M.A., Martínez-del-Amor, M.A., Pérez-Hurtado, I., Pérez-Jiménez, M.J., Riscos-Núñez, A.: A uniform framework for modeling based on P systems. In: Li, K., Nagar, A.K., Thamburaj, R. (eds.) IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2010), vol. 1, pp. 616–621 (2010)
Dassow, J., Păun, Gh.: On the power of membrane computing. TUCS Technical Report No. 217 (1998)
Frisco, P., Gheorghe, M., Pérez-Jiménez, M.J. (eds.): Applications of Membrane Computing in Systems and Synthetic Biology. ECC, vol. 7. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-03191-0
Păun, Gh.: Computing with membranes. J. Comput. Syst. Sci. 61(1), 108–143 (2000)
Păun, Gh.: Membrane Computing: An Introduction. Springer, Heidelberg (2002). https://doi.org/10.1007/978-3-642-56196-2
Păun, Gh., Rozenberg, G., Salomaa, A. (eds.): The Oxford Handbook of Membrane Computing. Oxford University Press, Oxford (2010)
World Health Organization: Antimicrobial Resistance: Global Report on Surveillance (2014)
Acknowledgements
Our work would not have been possible without the previous contributions of the community in P systems that allowed us to formulate this model as a valid tool and, in some cases, the best tool for modeling biological processes. In particular, all the works on ecological systems of the Natural Computing Group of the University of Seville, led by Prof. Mario de Jesús Pérez-Jiménez, have been our source of inspiration to address the design of our model.
José M. Sempere is indebted to Mario for his generosity and sincere friendship during all these years. This anniversary is a good opportunity to convey to Mario my gratitude for his human qualities, scientific rigor and ethical standards that I have been fortunate to witness and share. My sincere congratulations and best wishes for all that we still have left to share.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Baquero, F., Campos, M., Llorens, C., Sempere, J.M. (2018). A Model of Antibiotic Resistance Evolution Dynamics Through P Systems with Active Membranes and Communication Rules. In: Graciani, C., Riscos-Núñez, A., Păun, G., Rozenberg, G., Salomaa, A. (eds) Enjoying Natural Computing. Lecture Notes in Computer Science(), vol 11270. Springer, Cham. https://doi.org/10.1007/978-3-030-00265-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-00265-7_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00264-0
Online ISBN: 978-3-030-00265-7
eBook Packages: Computer ScienceComputer Science (R0)