Memorias de investigación
Artículos en revistas:
Discrete Modeling of Biochemical Signaling with Memory Enhancement
Año:2009

Áreas de investigación
  • Inteligencia artificial

Datos
Descripción
We present an enhancement of the Nondeterministic Waiting Time algorithm. This work is a continuation of our group¿s previous modeling efforts. We have improved our algorithm with a ¿memory enhancement¿. Previously, we have used our algorithm to explore the Fas-mediated apoptotic pathway in cells with a particular focus on cancerous or HIV-1-infected T cells. In this paper, we will describe the memory enhancement and give a simple three reaction model to illustrate the differences between our technique and a continuous, concentration-based approach using a system of ordinary differential equations. Furthermore, we provide our results from the modeling of two well-known models: the Lotka-Volterra predator-prey and a circadian rhythm model. For these models, we provide the results of our simulation technique in comparison to results from ordinary differential equations and the Gillespie Algorithm. We show that our algorithm, while being faster than Gillespie¿s approach, is capable of generating oscillatory behavior where ordinary differential equations do not.
Internacional
Si
JCR del ISI
No
Título de la revista
Lecture notes in computer science
ISSN
0302-9743
Factor de impacto JCR
0
Información de impacto
Volumen
5750
DOI
http://dx.doi.org/10.1007/978-3-642-04186-0_10
Número de revista
0
Desde la página
200
Hasta la página
215
Mes
OCTUBRE
Ranking

Esta actividad pertenece a memorias de investigación

Participantes
  • Participante: John Jack Department of Computer Science/IfM, Louisiana Tech University, P.O. Box 10348, Ruston, LA 71272, USA
  • Autor: Paul Andrei Paun . UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial