Optimal vaccination schedule search using genetic algorithm over MPI technology.

Background: Immunological strategies that achieve the prevention of tumor growth are based on the presumption that the immune system, if triggered before tumor onset, could be able to defend from specific cancers. In supporting this assertion, in the last decade active immunization approaches preven...

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Publicado en:BMC Medical Informatics & Decision Making Vol. 12; no. 1; pp. 129 - 130
Autores principales: Calonaci, Cristiano, Chiacchio, Ferdinando, Pappalardo, Francesco
Formato: research Journal Article
Publicado: BioMed Central 2012
Acceso en línea:Ver este registro en EBSCOhost
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        10.1186/1472-6947-12-129
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        atl: Optimal vaccination schedule search using genetic algorithm over MPI technology.
      aug:
        au:
          Calonaci, Cristiano
          Chiacchio, Ferdinando
          Pappalardo, Francesco
        affil: , University of Catania, Catania, Italy. fp@francescopappalardo.net.
      sug:
        subj:
          Algorithms
          Breast Neoplasms Immunology
          Breast Neoplasms Prevention and Control
          Cancer Vaccines Administration and Dosage
          Immunization Schedule
          Receptors, Cell Surface Drug Effects
          Animal Studies
          Antigens, Tumor Drug Effects
          Artificial Intelligence
          Cancer Vaccines
          Female
          Human
          Immunotherapy Methods
          Mice
          Female
      ab: Background: Immunological strategies that achieve the prevention of tumor growth are based on the presumption that the immune system, if triggered before tumor onset, could be able to defend from specific cancers. In supporting this assertion, in the last decade active immunization approaches prevented some virus-related cancers in humans. An immunopreventive cell vaccine for the non-virus-related human breast cancer has been recently developed. This vaccine, called Triplex, targets the HER-2-neu oncogene in HER-2/neu transgenic mice and has shown to almost completely prevent HER-2/neu-driven mammary carcinogenesis when administered with an intensive and life-long schedule.Methods: To better understand the preventive efficacy of the Triplex vaccine in reduced schedules we employed a computational approach. The computer model developed allowed us to test in silico specific vaccination schedules in the quest for optimality. Specifically here we present a parallel genetic algorithm able to suggest optimal vaccination schedule.Results& Conclusions: The enormous complexity of combinatorial space to be explored makes this approach the only possible one. The suggested schedule was then tested in vivo, giving good results. Finally, biologically relevant outcomes of optimization are presented.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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