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A novel approach to identifying patterns of human invasion-inhibitory antibodies guides the design of malaria vaccines incorporating polymorphic antigens.
Drew, Damien R; Wilson, Danny W; Elliott, Salenna R; Cross, Nadia; Terheggen, Ulrich; Hodder, Anthony N; Siba, Peter M; Chelimo, Kiprotich; Dent, Arlene E; Kazura, James W; Mueller, Ivo; Beeson, James G.
Afiliação
  • Drew DR; The Burnet Institute of Medical Research and Public Health, 85 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Wilson DW; The Burnet Institute of Medical Research and Public Health, 85 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Elliott SR; Research Centre for Infectious Diseases, School of Molecular and Biomedical Science, University of Adelaide, Adelaide, South Australia, Australia.
  • Cross N; The Burnet Institute of Medical Research and Public Health, 85 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Terheggen U; The Burnet Institute of Medical Research and Public Health, 85 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Hodder AN; The Burnet Institute of Medical Research and Public Health, 85 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Siba PM; Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia.
  • Chelimo K; Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
  • Dent AE; Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.
  • Kazura JW; Kenya Medical Research Institute, Kisian, Kenya.
  • Mueller I; Case Western Reserve University, Cleveland, Ohio, USA.
  • Beeson JG; Case Western Reserve University, Cleveland, Ohio, USA.
BMC Med ; 14(1): 144, 2016 Sep 23.
Article em En | MEDLINE | ID: mdl-27658419
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article