Computational modeling of the MAPK pathway using NetLogo

Authors

  • Dora Luz Flores
  • Claudia Gomez Facultad de Ingeniería, Arquitectura y Diseño; Universidad Autónoma de Baja California
  • Edgar Manzanarez Ozuna Facultad de Ingeniería
  • Gustavo Hirata Centro de Nanociencias y Nanotecnología; Universidad Autónoma Nacional de México

DOI:

https://doi.org/10.69681/lajae.v1i1.3

Keywords:

Computational modeling, MAPK pathway, NetLogo, Systemsbiology

Abstract

The signal transduction pathways have an important role in cell growth, as they are the primary means of communication of cells with their environment, which determines the activity of cells promoting responses such as proliferation, differentiation, migration, development, apoptosis, etc., there have been models representing these pathways using different techniques, such as ODEs, stochastic methods, Petri nets, pi calculation, Boolean networks, Bayesian networks, cellular automaton and agent-based systems, among others. In this research, an agent-based modeling and simulation of subsequent events after activation of the Ras molecule in the intracellular MAPK pathway section is presented, using a multi-agent programmable modeling environment called NetLogo.

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Published

2018-12-31

How to Cite

Flores, D. L., Gomez, C., Manzanarez Ozuna, E., & Hirata, G. (2018). Computational modeling of the MAPK pathway using NetLogo. Latin American Journal of Applied Engineeringg, 1(1), 9–15. https://doi.org/10.69681/lajae.v1i1.3

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