Article

AI-Based Antibody Design Targeting Recent H5N1 Avian Influenza Strains

2025-04-24

Abstract excerpt

In 2025 alone, H5N1 avian influenza is responsible for thousands of infections across various animal species, including avian and mammalian livestock such as chickens and cows, and poses a threat to human health due to avian-to-mammalian transmission. There have been 70 human cases of H5N1 influenza in the United States since April 2024 and, as shown in recent studies, our current antibody defenses are waning. Thu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 02305631-7407-5fc5-83fd-f4aa2f919739
DOI: 10.1101/2025.04.24.650061

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AI-Based Antibody Design Targeting Recent H5N1 Avian Influenza StrainsDOI 10.1101/2025.04.24.650061Read

Large-scale computational modelling of H5 influenza variants against HA1-neutralising antibodiesSemantic proximity Read

An AI-Driven Framework for the Design and Development of the Next-Generation Avian Viral VaccinesSemantic proximity Read

Potent efficacy of a NA-targeting antibody against a broad spectrum of H5N1 influenza virusesSemantic proximity Read

Potent efficacy of an NA-targeting antibody against a broad spectrum of H5N1 influenza viruses.Semantic proximity Read

Large-Scale Computational Modeling of H5 Influenza Variants Against HA1-Neutralizing AntibodiesSemantic proximity Read

Computational design of therapeutic antibodies with improved developability: efficient traversal of binder landscapes and rescue of escape mutations.Semantic proximity Read

AI-based antibody discovery platform identifies novel, diverse and pharmacologically active therapeutic antibodies against multiple SARS-CoV-2 strainsSemantic proximity Read

Influenza vaccine strain selection with an AI-based evolutionary and antigenicity modelSemantic proximity Read

Near real-time data on the human neutralizing antibody landscape to influenza virus as of early 2026 to inform vaccine-strain selectionSemantic proximity Read

AbNatiV: VQ-VAE-based assessment of antibody and nanobody nativeness for hit selection, humanisation, and engineeringSemantic proximity Read

Immunoinformatics-Guided Design and In Silico Evaluation of a Multi-Epitope Vaccine Against Influenza A H10N5 and H3N2 Strains Based on Hemagglutinin and Neuraminidase ProteinsSemantic proximity Read

Structure-aware deep learning predicts influenza antigenicity and guides vaccine strain recommendationSemantic proximity Read