Document type
OtherPublication date
Publication license
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/223764
Computational models for describing Ras nanocluster dynamics and PRMT5-mediated modulation
Journal Title
Authors
Director/Tutor
Journal ISSN
Volume Title
Related resource
Abstract
The computational models implemented and exploited for the different analysis performed in the
thesis "Spatiotemporal regulation of Ras-driven MAPK signaling: a stochastic and computational
approach to Ras nanocluster dynamics and PRMT5-mediated modulation" were defined and
simulated using a stochastic approach similar to Gillespie’s Stochastic Simulation Algorithm (SSA),
in which the biochemical reactions of the signaling cascade are treated as a set of discrete stochastic
events [1-3]. Each event is modeled as a Poissonian process with its occurrence frequency
characterized by the corresponding reaction rate. All simulations were implemented in the Fortran
programming language, specifically using the GNU Fortran 77 compiler.
Two different basic configurations of the EGF-Ras-ERK MAPK signaling pathway have been
modelled and simulated: i) a configuration based on the classical three-tiered cascade architecture
comprising the core signaling module Raf-MEK-ERK, and ii) a configuration that localizes all
pathway components and signaling events within discrete, membrane-associated nanoclusters.
The different models are listed below
Subject (English)
Citation
Collections
Citation
JURADO SÁENZ, Manuel. Computational models for describing Ras nanocluster dynamics and PRMT5-mediated modulation. [consulted: 11 of June of 2026]. Available at: https://hdl.handle.net/2445/223764