Advertisement

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

  • Fernando Baquero
  • Marcelino Campos
  • Carlos Llorens
  • José M. SempereEmail author
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11270)

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.

Notes

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.

References

  1. 1.
    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)Google Scholar
  2. 2.
    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)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Campos, M.: A membrane computing simulator of trans-hierarchical antibiotic resistance evolution dynamics in nested ecological compartments (ARES). Biol. Direct 10(1), 41 (2015)CrossRefGoogle Scholar
  4. 4.
    Ciobanu, G., Păun, Gh., Pérez-Jiménez, M.J.: Applications of Membrane Computing. Springer, Heidelberg (2006).  https://doi.org/10.1007/3-540-29937-8Google Scholar
  5. 5.
    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)CrossRefGoogle Scholar
  6. 6.
    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)Google Scholar
  7. 7.
    Dassow, J., Păun, Gh.: On the power of membrane computing. TUCS Technical Report No. 217 (1998)Google Scholar
  8. 8.
    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/10.1007/978-3-319-03191-0CrossRefGoogle Scholar
  9. 9.
    Păun, Gh.: Computing with membranes. J. Comput. Syst. Sci. 61(1), 108–143 (2000)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Păun, Gh.: Membrane Computing: An Introduction. Springer, Heidelberg (2002).  https://doi.org/10.1007/978-3-642-56196-2CrossRefGoogle Scholar
  11. 11.
    Păun, Gh., Rozenberg, G., Salomaa, A. (eds.): The Oxford Handbook of Membrane Computing. Oxford University Press, Oxford (2010)Google Scholar
  12. 12.
    World Health Organization: Antimicrobial Resistance: Global Report on Surveillance (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Fernando Baquero
    • 1
  • Marcelino Campos
    • 1
    • 2
  • Carlos Llorens
    • 3
  • José M. Sempere
    • 2
    Email author
  1. 1.Department of Microbiology, IRYCISRamon y Cajal University HospitalMadridSpain
  2. 2.Department of Information Systems and ComputationUniversitat Politècnica de ValènciaValenciaSpain
  3. 3.BiotechvanaValenciaSpain

Personalised recommendations