AIMC Topic: Antigenic Variation

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Language models learn to represent antigenic properties of human influenza A(H3) virus.

Scientific reports Jul 1, 2025
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess the antigenic properties of newly emerging variants continuously. With the increasing application of r...
Deep Learning Influenza, Human Machine Learning Computer Simulation Hemagglutinin Glycoproteins, Influenza Virus Antigenic Variation Antigens, Viral Influenza A Virus, H3N2 Subtype Humans
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Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.

Viruses Apr 14, 2025
Newcastle disease virus (NDV) continues to present a significant challenge for vaccination due to its rapid evolution and the emergence of new variants. Although molecular and sequence data are now quickly and inexpensively produced, genetic distance...
Machine Learning Animals Antigenic Variation Newcastle Disease HN Protein Antigens, Viral Hemagglutination Inhibition Tests Chickens Newcastle disease virus
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Seasonal antigenic prediction of influenza A H3N2 using machine learning.

Nature communications May 7, 2024
Antigenic characterization of circulating influenza A virus (IAV) isolates is routinely assessed by using the hemagglutination inhibition (HI) assays for surveillance purposes. It is also used to determine the need for annual influenza vaccine update...
Influenza A Virus, H3N2 Subtype Hemagglutinin Glycoproteins, Influenza Virus Influenza Vaccines Antigens, Viral Hemagglutination Inhibition Tests Antigenic Variation Humans Machine Learning Influenza, Human Seasons
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Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning.

Microbiology spectrum Dec 13, 2022
The control of porcine reproductive and respiratory syndrome (PRRS) remains a significant challenge due to the genetic and antigenic variability of the causative virus (PRRSV). Predominantly, PRRSV management includes using vaccines and live virus in...
Antigenic Variation Cross Protection Porcine respiratory and reproductive syndrome virus Phylogeny Genetic Variation Animals Cross Reactions Swine Porcine Reproductive and Respiratory Syndrome Machine Learning
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A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2.

Computational and mathematical methods in medicine Oct 16, 2021
Modeling antigenic variation in influenza (flu) virus A H3N2 using amino acid sequences is a promising approach for improving the prediction accuracy of immune efficacy of vaccines and increasing the efficiency of vaccine screening. Antigenic drift a...
Hemagglutinin Glycoproteins, Influenza Virus Computational Biology Databases, Protein Antigenic Variation Amino Acid Sequence Neural Networks, Computer Antigens, Viral Influenza, Human Humans Influenza A Virus, H3N2 Subtype Deep Learning
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Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine.

mSphere Mar 17, 2021
The antigenic diversity of influenza A viruses (IAV) circulating in swine challenges the development of effective vaccines, increasing zoonotic threat and pandemic potential. High-throughput sequencing technologies can quantify IAV genetic diversity,...
Amino Acid Substitution Orthomyxoviridae Infections Influenza A Virus, H3N2 Subtype Hemagglutinin Glycoproteins, Influenza Virus Genotype Regression Analysis Swine Diseases Animals Swine Antigenic Variation Machine Learning Phenotype
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