Influenza A Virus, H3N2 Subtype

Discovery of Influenza A virus neuraminidase inhibitors using support vector machine and Naïve Bayesian models.

Molecular diversity 26689205

Neuraminidase (NA) is a critical enzyme in the life cycle of influenza virus, which is known as a successful paradigm in the design of anti-influenza agents. However, to date there are no classification models for the virtual screening of NA inhibito...

Bayes Theorem Computational Biology Drug Discovery Enzyme Inhibitors Influenza A Virus, H1N1 Subtype Influenza A Virus, H3N2 Subtype Neuraminidase Support Vector Machine

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Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.

Journal of bioinformatics and computational biology 32336247

Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics due to rapid viral evolution. Vaccines are used to prevent influenza infections but the composition of the influenza vaccines have to be upd...

Computational Biology Epitopes Humans Influenza A Virus, H3N2 Subtype Influenza Vaccines Influenza, Human Interrupted Time Series Analysis Mutation Rate Neural Networks, Computer Viral Proteins

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A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2.

Computational and mathematical methods in medicine 34697557

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...

Amino Acid Sequence Antigenic Variation Antigens, Viral Computational Biology Databases, Protein Deep Learning Hemagglutinin Glycoproteins, Influenza Virus Humans Influenza A Virus, H3N2 Subtype Influenza, Human Neural Networks, Computer

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Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine.

mSphere 33731472

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 Animals Antigenic Variation Genotype Hemagglutinin Glycoproteins, Influenza Virus Influenza A Virus, H3N2 Subtype Machine Learning Orthomyxoviridae Infections Phenotype Regression Analysis Swine Swine Diseases

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DeepFlu: a deep learning approach for forecasting symptomatic influenza A infection based on pre-exposure gene expression.

Computer methods and programs in biomedicine 34798406

BACKGROUND AND OBJECTIVE: Not everyone gets sick after an exposure to influenza A viruses (IAV). Although KLRD1 has been identified as a potential biomarker for influenza susceptibility, it remains unclear whether forecasting symptomatic flu infectio...

Deep Learning Gene Expression Humans Influenza A Virus, H1N1 Subtype Influenza A Virus, H3N2 Subtype Influenza, Human

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Integrated epigenomic exposure signature discovery.

Epigenomics 39225561

The epigenome influences gene regulation and phenotypes in response to exposures. Epigenome assessment can determine exposure history aiding in diagnosis. Here we developed and implemented a machine learning algorithm, the exposure signature discove...

Algorithms Bacillus anthracis COVID-19 Epigenesis, Genetic Epigenome Epigenomics HIV Infections Humans Influenza A Virus, H3N2 Subtype Influenza, Human Machine Learning SARS-CoV-2 Staphylococcus aureus Transcriptome

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Seasonal antigenic prediction of influenza A H3N2 using machine learning.

Nature communications 38714654

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...

Antigenic Variation Antigens, Viral Hemagglutination Inhibition Tests Hemagglutinin Glycoproteins, Influenza Virus Humans Influenza A Virus, H3N2 Subtype Influenza Vaccines Influenza, Human Machine Learning Seasons

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Utilizing machine learning and hemagglutinin sequences to identify likely hosts of influenza H3Nx viruses.

Preventive veterinary medicine 39353303

Influenza is a disease that represents both a public health and agricultural risk with pandemic potential. Among the subtypes of influenza A virus, H3 influenza virus can infect many avian and mammalian species and is therefore a virus of interest to...

Animals Birds Dog Diseases Dogs Hemagglutinin Glycoproteins, Influenza Virus Influenza A virus Influenza A Virus, H3N2 Subtype Influenza in Birds Machine Learning Orthomyxoviridae Infections Swine Swine Diseases

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Discovery of Influenza A virus neuraminidase inhibitors using support vector machine and Naïve Bayesian models.

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.

A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2.

Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine.

DeepFlu: a deep learning approach for forecasting symptomatic influenza A infection based on pre-exposure gene expression.

Integrated epigenomic exposure signature discovery.

Seasonal antigenic prediction of influenza A H3N2 using machine learning.

Utilizing machine learning and hemagglutinin sequences to identify likely hosts of influenza H3Nx viruses.

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