Memorias de investigación
Research Publications in journals:
Discrete Modeling of Biochemical Signaling with Memory Enhancement
Year:2009

Research Areas
  • Artificial intelligence

Information
Abstract
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.
International
Si
JCR
No
Title
Lecture notes in computer science
ISBN
0302-9743
Impact factor JCR
0
Impact info
Volume
5750
http://dx.doi.org/10.1007/978-3-642-04186-0_10
Journal number
0
From page
200
To page
215
Month
OCTUBRE
Ranking
Participants
  • Participante: John Jack Department of Computer Science/IfM, Louisiana Tech University, P.O. Box 10348, Ruston, LA 71272, USA
  • Autor: Paul Andrei Paun . UPM

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial