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...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 12; no. 1; pp. 129 - 130 |
|---|---|
| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2012
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104308067&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104308067 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726947 1CI0 jtl: BMC Medical Informatics & Decision Making issn: 14726947 maglogo: N pubinfo: dt: 2012 vid: 12 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 104308067 NLM23148787 2011924586 10.1186/1472-6947-12-129 NLM23148787 PMC3558354 104308067 ppf: 129 ppct: 1 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
|---|