ArticleJournal of molecular biology2012
Identifying antigenicity-associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning.
Article in Journal of molecular biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
25 citing papers in PubMed, 52 citations in OpenAlex.
- Genetic characterization of highly pathogenic avian influenza A/H5N8 virus isolated from commercial poultry farms in Egypt reveals zoonotic potential.Archives of virology · 2025Article
- Genomic surveillance and evolution of co-circulating avian influenza H5N1 and H5N8 viruses in Egypt, 2022-2024.Emerging microbes & infections · 2025Article
- MAIVeSS: streamlined selection of antigenically matched, high-yield viruses for seasonal influenza vaccine production.Nature communications · 2024Article
- A sequence-based machine learning model for predicting antigenic distance for H3N2 influenza virus.Frontiers in microbiology · 2024Article
- Emergence of Highly Pathogenic Avian Influenza A Virus (H5N1) of Clade 2.3.4.4b in Egypt, 2021-2022.Pathogens (Basel, Switzerland) · 2023Article
- Molecular Epidemiology and Evolutionary Analysis of Avian Influenza A(H5) Viruses Circulating in Egypt, 2019-2021.Viruses · 2022Article
- Antigenic characterization of influenza and SARS-CoV-2 viruses.Analytical and bioanalytical chemistry · 2022Review
- Next-Generation Computationally Designed Influenza Hemagglutinin Vaccines Protect against H5Nx Virus Infections.Pathogens (Basel, Switzerland) · 2021Article
- Triple reassortment increases compatibility among viral ribonucleoprotein genes of contemporary avian and human influenza A viruses.PLoS pathogens · 2021Article
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- Pathological and Molecular Characterization of H5 Avian Influenza Virus in Poultry Flocks from Egypt over a Ten-Year Period (2009-2019).Animals : an open access journal from MDPI · 2020Article
- Multi-task learning sparse group lasso: a method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of Hemagglutinin.BMC bioinformatics · 2020Article
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- Predicting Antigenicity of Influenza A Viruses Using biophysical ideas.Scientific reports · 2019Article
- Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus.Bioinformatics (Oxford, England) · 2019Article
- Predicting influenza antigenicity from Hemagglutintin sequence data based on a joint random forest method.Scientific reports · 2017Article
- Reassortant highly pathogenic influenza A(H5N6) virus in Laos.Emerging infectious diseases · 2015Article
- Molecular characterization of avian influenza H5N1 virus in Egypt and the emergence of a novel endemic subclade.The Journal of general virology · 2014Article
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Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Since the isolation of A/goose/Guangdong/1/1996 (H5N1) in farmed geese in southern China, highly pathogenic H5N1 avian influenza viruses have posed a continuous threat to both public and animal health. The non-synonymous mutation of the H5 hemagglutinin (HA) gene has resulted in antigenic drift, leading to difficulties in both clinical diagnosis and vaccine strain selection. Characterizing H5N1's antigenic profiles would help resolve these problems. In this study, a novel sparse learning method was developed to identify antigenicity-associated sites in influenza A viruses on the basis of immunologic data sets (i.e., from hemagglutination inhibition and microneutralization assays) and HA protein sequences. Twenty-one potential antigenicity-associated sites were identified. A total of 17 H5N1 mutants were used to validate the effects of 11 of these predicted sites on H5N1's antigenicity, including 7 newly identified sites not located in reported antibody binding sites. The experimental data confirmed that mutations of these tested sites lead to changes in viral antigenicity, validating our method.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.