ArticleNature communications2012
Mapping of H3N2 influenza antigenic evolution in China reveals a strategy for vaccine strain recommendation.
Article in Nature communications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
What it found
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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
73 citing papers in PubMed, 119 citations in OpenAlex.
- VirPLM: antigenic prediction of influenza A/H3N2 viruses with a fine-tuned protein language model.Bioinformatics (Oxford, England) · 2026Article
- Alignment-free prediction of cross-reactivity in influenza A (H3N2) anticipates antigenic drift.PLoS computational biology · 2026Article
- FluAttn: Antigenicity prediction of influenza A/H3N2 through attention-based feature mining.Infectious Disease Modelling · 2026Article
- FluNexus: A versatile web platform for antigenic prediction and visualization of influenza A viruses.iMeta · 2026Article
- Animal Models for Swine Influenza Virus Research: Pathology, Viral Dynamics, and Immune Responses.Viruses · 2026Review
- A CNN-Based Model of Cross-Immunity to Influenza A(H3N2) Virus: Testing Under "Real-World" Conditions.Viruses · 2026Article
- Article
- High-throughput pseudovirus neutralisation maps the antigenic landscape of influenza A/H1N1 viruses.EBioMedicine · 2025Article
- Unraveling the mechanism behind the probable extinction of the B/Yamagata lineage of influenza B viruses.Nature communications · 2025Article
- Mapping the Global Antigenic Evolution of Human Influenza A/H3N2 Neuraminidase Based on a Machine Learning Model - 1968-2024.China CDC weekly · 2025Article
- PREDAC-FluB: predicting antigenic clusters of seasonal influenza B viruses with protein language model embedding based convolutional neural network.Briefings in bioinformatics · 2025Article
- Evaluating the performance of the PREDAC method in flu vaccine recommendations over the past decade (2013-2023).Virologica Sinica · 2025Article
- Spatiotemporal patterns of influenza incidence changes in mainland China, 2004-2020.Frontiers in public health · 2025Article
- Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.PLoS biology · 2024Article
- Sequence-based detection of emerging antigenically novel influenza A viruses.Proceedings. Biological sciences · 2024Article
- Seasonal antigenic prediction of influenza A H3N2 using machine learning.Nature communications · 2024Article
- Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.medRxiv : the preprint server for health sciences · 2024Article
- Spatiotemporal genotype replacement of H5N8 avian influenza viruses contributed to H5N1 emergence in 2021/2022 panzootic.Journal of virology · 2024Article
- MAIVeSS: streamlined selection of antigenically matched, high-yield viruses for seasonal influenza vaccine production.Nature communications · 2024Article
- PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network.Briefings in bioinformatics · 2024Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the primary efforts in influenza vaccine strain recommendation is to monitor through gene sequencing the viral surface protein haemagglutinin (HA) variants that lead to viral antigenic changes. Here we have developed a computational method, denoted as PREDAC, to predict antigenic clusters of influenza A (H3N2) viruses with high accuracy from viral HA sequences. Application of PREDAC to large-scale HA sequence data of H3N2 viruses isolated from diverse regions of Mainland China identified 17 antigenic clusters that have dominated for at least one season between 1968 and 2010. By tracking the dynamics of the dominant antigenic clusters, we not only find that dominant antigenic clusters change more frequently in China than in the United States/Europe, but also characterize the antigenic patterns of seasonal H3N2 viruses within China. Furthermore, we demonstrate that the coupling of large-scale HA sequencing with PREDAC can significantly improve vaccine strain recommendation for China.
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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.