A biological optimization problem on the Grid

MARZIO ALFIO PENNISI, FRANCESCO PAPPALARDO, E Mastriani, F Chiacchio, MOTTA Santo

Risultato della ricerca: Contributo alla conferenzaContributo in Atti di Convegnopeer review

Abstract

Vaccine and drug discovery is a lengthy process. Mathematical-computational models can speed-up the process. In cancer immunology the Triplex vaccine [Pappalardo et al.(2005)] prevented mammary carcinoma formation in HER-2/Neu mouse models using a Chronic Schedule, but it is not known if this schedule is minimal. The use of the SimTriplex model and Genetic Algorithms produced a minimal vaccination schedule capable of guarantee in silico survival [Pappalardo et al.(2005)] requiring an HPC infrastructure for several days. In this paper we show a novel optimal protocol search algorithm based on Simulated Annealing (SA) capable to greatly reduce the computational effort. The COMETA grid infrastructure has been used for protocol search and validation.
Lingua originaleInglese
Pagine403-410
Numero di pagine8
Stato di pubblicazionePubblicato - 1 gen 2009
EventoFINAL WORKSHOP OF GRID PROJECTS, PON RICERCA 2000-2006, Avviso 1575 - Catania
Durata: 1 gen 2009 → …

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???event.eventtypes.event.conference???FINAL WORKSHOP OF GRID PROJECTS, PON RICERCA 2000-2006, Avviso 1575
CittàCatania
Periodo1/01/09 → …

Keywords

  • Protocol
  • Tumor

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