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 originale | Inglese |
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Pagine | 403-410 |
Numero di pagine | 8 |
Stato di pubblicazione | Pubblicato - 1 gen 2009 |
Evento | FINAL 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 |
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Città | Catania |
Periodo | 1/01/09 → … |
Keywords
- Protocol
- Tumor