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dc.creatorSchmier, Sonja
dc.creatorMostafa, Ahmed
dc.creatorHaarmann, Thomas
dc.creatorBannert, Norbert
dc.creatorZiebuhr, John
dc.creatorVeljković, Veljko
dc.creatorDietrich, Ursula
dc.creatorPleschka, Stephan
dc.date.accessioned2018-03-01T16:14:11Z
dc.date.available2018-03-01T16:14:11Z
dc.date.issued2015
dc.identifier.issn2045-2322 (print)
dc.identifier.urihttp://vinar.vin.bg.ac.rs/handle/123456789/616
dc.description.abstractNewly emerging influenza A viruses (IAV) pose a major threat to human health by causing seasonal epidemics and/or pandemics, the latter often facilitated by the lack of pre-existing immunity in the general population. Early recognition of candidate pandemic influenza viruses (CPIV) is of crucial importance for restricting virus transmission and developing appropriate therapeutic and prophylactic strategies including effective vaccines. Often, the pandemic potential of newly emerging IAV is only fully recognized once the virus starts to spread efficiently causing serious disease in humans. Here, we used a novel phylogenetic algorithm based on the informational spectrum method (ISM) to identify potential CPIV by predicting mutations in the viral hemagglutinin (HA) gene that are likely to (differentially) affect critical interactions between the HA protein and target cells from bird and human origin, respectively. Predictions were subsequently validated by generating pseudotyped retrovirus particles and genetically engineered IAV containing these mutations and characterizing potential effects on virus entry and replication in cells expressing human and avian IAV receptors, respectively. Our data suggest that the ISM-based algorithm is suitable to identify CPIV among IAV strains that are circulating in animal hosts and thus may be a new tool for assessing pandemic risks associated with specific strains.en
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173001/RS//
dc.relationFluResearchNet [01 KI 07136], DFG-funded Collaborative Research Center (SFB) [1021, A1, C1], German Centre for Infection Research (DZIF), partner site Giessen, Germany (TTU-Emerging Infections), 6th Framework Program (FP6) of the EU [SP5B-CT-2007-044098], BMBF founded FluResearchNet [01 KI 07136], German-Egyptian Research Long-Term Scholarship GERLS program, Egyptian government, German Academic Exchange Service (DAAD)
dc.rightsopenAccessen
dc.sourceScientific Reportsen
dc.titleIn Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Virusesen
dc.typearticleen
dcterms.abstractВељковић Вељко; Мостафа, Aхмед; Хаарманн, Тхомас; Сцхмиер, Соња; Зиебухр, Јохн; Плесцхка, Степхан; Диетрицх, Урсула; Баннерт, Норберт;
dc.citation.volume5
dc.identifier.wos000356535900001
dc.identifier.doi10.1038/srep11434
dc.citation.otherArticle Number: 11434
dc.citation.rankM21a
dc.identifier.pmid26091504
dc.identifier.scopus2-s2.0-84935012627
dc.identifier.fulltexthttp://vinar.vin.bg.ac.rs//bitstream/id/4781/srep11434.pdf


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