GRIDUISS is a simulation framework to model the immune system using grid technologies. It integrates simulation engines, optimization techniques and other prediction models. GRIDUISS is then capable to reproduce general immune system behavior connected to several immune system response (to viruses, bacteria, tumors and auto-immune disease) and drug-induced immune system responses. This framework has been inspired from the EC funded ImmunoGrid project.

GRIDUISS is a simulation framework to model the immune system using grid technologies. It integrates simulation engines, optimization techniques and other prediction models. GRIDUISS is then capable to reproduce general immune system behavior connected to several immune system response (to viruses, bacteria, tumors and auto-immune disease) and drug-induced immune system responses. This framework has been inspired from the EC funded ImmunoGrid project

GRIDUISS - A grid based universal immune system simulator framework

PAPPALARDO, FRANCESCO;PENNISI, MARZIO ALFIO;Chiacchio F;MOTTA, Santo
2010-01-01

Abstract

GRIDUISS is a simulation framework to model the immune system using grid technologies. It integrates simulation engines, optimization techniques and other prediction models. GRIDUISS is then capable to reproduce general immune system behavior connected to several immune system response (to viruses, bacteria, tumors and auto-immune disease) and drug-induced immune system responses. This framework has been inspired from the EC funded ImmunoGrid project.
2010
9783642149214
GRIDUISS is a simulation framework to model the immune system using grid technologies. It integrates simulation engines, optimization techniques and other prediction models. GRIDUISS is then capable to reproduce general immune system behavior connected to several immune system response (to viruses, bacteria, tumors and auto-immune disease) and drug-induced immune system responses. This framework has been inspired from the EC funded ImmunoGrid project
grid simulations; Mathematical models; Computer simulation
File in questo prodotto:
File Dimensione Formato  
2010b_ICIC.pdf

solo gestori archivio

Tipologia: Versione Editoriale (PDF)
Dimensione 143.85 kB
Formato Adobe PDF
143.85 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/70519
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact