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.
A biological optimization problem on the Grid
PENNISI, MARZIO ALFIO;
2009-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
