Ron A. M. Fouchier

This paper introduces a high-throughput pipeline for selective mutational scanning in influenza viruses, enabling rapid assessment of variant fitness and escape potential.

This paper develops a multi-species luciferase-based double antigen ELISA for detecting H5 clade 2.3.4.4b-specific antibodies in various species, showing high sensitivity and specificity.

This study investigates how amino acid substitutions in H3N2 influenza A virus subclade K affect hemagglutination and glycan binding, showing a preference for elongated glycans not present on turkey erythrocytes.

The paper tracks the evolution of Avian Influenza H5N1 genotype EA-2024-DI across three epidemic waves, showing changes in transmission patterns and increased mammalian host adaptation.

This study predicts antigenic evolution in seasonal influenza viruses by analyzing phylogenetic convergence of HA substitutions near the receptor binding site.

This study identifies transient RNA structures that drive nucleotide insertions leading to the formation of MBCSs in HPAIVs.

This study characterizes the emergence and antigenic properties of influenza A(H3N2) viruses with N158K and K189R substitutions, showing they are antigenically distinct from vaccine strains and may reduce vaccine effectiveness.

This study shows that H5N1 viruses' ability to adapt to bovine cells varies across genotypes and time, with key mutations in PB2 playing a role.

The paper creates a high-resolution antigenic map of A(H5) HA and uses it to design vaccine antigens that confer broad immunity against diverse A(H5) viruses.

The paper documents the emergence and dynamics of Usutu and West Nile viruses in the Netherlands from 2016 to 2022, showing USUV's enzootic maintenance and WNV's early establishment with no bird mortality.

The paper uses machine learning to predict antigenic properties of influenza A(H3) virus from genomic data, finding that deep learning models outperform classical methods in fine-grained antigenic analysis.

This study maps the complete influenza A virus infection cycle in individual cells, identifying key factors driving infection heterogeneity.

This paper develops a stop-and-go chemoenzymatic method to synthesize asymmetrical bi-antennary glycans and uses them to study receptor binding evolution of human influenza A viruses.

The paper compares SARS-CoV-2 antigenicity across assays and in human and animal model sera, finding similar immunodominance patterns and antigenic maps but differences in titer magnitude and assay-specific fold change.