Memorias de investigación
Artículos en revistas:
Effects of HIV-1 Proteins on the Fas-Mediated Apoptotic Signaling Cascade: A Computational Study of Latent CD4+ T Cell Activation
Año:2009

Áreas de investigación
  • Inteligencia artificial

Datos
Descripción
We present a new model for simulating Fas-induced apoptosis in HIV-1-infected CD4+ T cells. Moreover, the reactivation of latently infected cells is explored. The work, an extension of our previous modeling efforts, is the first attempt in systems biology for modeling the Fas pathway in the latently infected cells. These enigmatic cells are considered the last barrier in the elimination of HIV infection. In building the model, we gathered what reaction rates and initial conditions are available from the literature. For the unknown constants, we fit the model to the available information on the observed effects of HIV-1 proteins in activated CD4+ T cells. We provide results, using the Nondeterministic Waiting Time (NWT) algorithm, from the model, simulating the infection of activated CD4+ T cells as well as the reactivation of a latently infected cells. These two model versions are distinct with respect to the initial conditions ¿ multiplicities and locations of proteins at the beginning of the simulation.
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
5391
DOI
http://dx.doi.org/10.1007/978-3-540-95885-7_18
Número de revista
0
Desde la página
246
Hasta la página
259
Mes
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Participantes

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