About: In Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Viruses

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: In Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Viruses Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	In Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Viruses
Creator	Ziebuhr, John Mostafa, Ahmed Dietrich, Ursula Pleschka, Stephan Bannert, Norbert Haarmann, Thomas Schmier, Sonja Veljkovic, Veljko
Source	PMC
abstract	Newly 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.
has issue date	2015-06-19(xsd:dateTime)
bibo:doi	10.1038/srep11434
bibo:pmid	26091504
has license	cc-by
sha1sum (hex)	d44ccd4da37549d25e916096ebd616c982af0422
schema:url	https://doi.org/10.1038/srep11434
resource representing a document's title	In Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Viruses
has PubMed Central identifier	PMC4473683
has PubMed identifier	26091504
schema:publication	Sci Rep
resource representing a document's body	covid:d44ccd4da37549d25e916096ebd616c982af0422#body_text
is schema:about of	named entity 'RECEPTOR' named entity 'H5N1 INFLUENZA' named entity 'protein' named entity 'influenza A' named entity 'bird' named entity 'gene' named entity 'viral' named entity 'Viruses' named entity 'Receptor' named entity 'INFLUENZA A' named entity 'CANDIDATE' named entity 'A MAJOR' named entity 'ANIMAL' named entity 'LACK' named entity 'HUMAN ORIGIN' named entity 'LIKELY' named entity 'APPROPRIATE' named entity 'BIRD' named entity 'AFFECT' named entity 'ISM' named entity 'VACCINES' named entity 'TRANSMISSION' named entity 'THESE' named entity 'RESTRICTING' named entity 'PROTEIN ' named entity 'HERE' named entity 'HUMAN HEALTH' named entity 'CELLS' named entity 'THERAPEUTIC' named entity 'CAUSING' named entity 'PANDEMICS' named entity 'MUTATIONS' named entity 'NEWLY' named entity 'ASSESSING' named entity 'POTENTIAL' named entity 'SUITABLE' named entity 'TO IDENTIFY' named entity 'GENERATING' named entity 'RISKS' named entity 'EARLY RECOGNITION' named entity 'HUMAN' named entity 'INFLUENZA VIRUSES' named entity 'SPECIFIC' named entity 'INFORMATIONAL' named entity 'HUMANS' named entity 'PROPHYLACTIC' named entity 'DEVELOPING' named entity 'THREAT' named entity 'EFFECTIVE' named entity 'POSE' named entity 'SPREAD' named entity 'TARGET CELLS' named entity 'SPECTRUM' named entity 'GENE' named entity 'NOVEL' named entity 'DATA' named entity 'PREDICTIONS' named entity 'STRAINS' named entity 'HUMAN' named entity 'PARTICLES' named entity 'STRATEGIES' named entity 'VIRAL' named entity 'OPEN' named entity 'ENHANCED' named entity 'EXPERIMENTAL' named entity 'SPECIFICITY' named entity 'FULLY' named entity 'CONFIRMATION OF' named entity 'USED' named entity 'NEW' named entity 'CRITICAL' named entity 'AVIAN' named entity 'INTERACTIONS' named entity 'OUR'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software