AIMC Topic: Influenza A virus

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Examining the Influenza A Virus Sialic Acid Binding Preference Predictions of a Sequence-Based Convolutional Neural Network.

Influenza and other respiratory viruses Dec 1, 2024
BACKGROUND: Though receptor binding specificity is well established as a contributor to host tropism and spillover potential of influenza A viruses, determining receptor binding preference of a specific virus still requires expensive and time-consumi...
Humans Neural Networks, Computer Machine Learning Influenza A virus Protein Binding Amino Acid Sequence Influenza, Human Hemagglutinin Glycoproteins, Influenza Virus Receptors, Virus N-Acetylneuraminic Acid
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Influenza virus genotype to phenotype predictions through machine learning: a systematic review.

Emerging microbes & infections Dec 1, 2021
BACKGROUND: There is great interest in understanding the viral genomic predictors of phenotypic traits that allow influenza A viruses to adapt to or become more virulent in different hosts. Machine learning techniques have demonstrated promise in add...
Humans Machine Learning Algorithms Phenotype Influenza A virus Genotype Drug Resistance, Viral Genome, Viral
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A novel reassortant avian influenza H4N6 virus isolated from an environmental sample during a surveillance in Maharashtra, India.

The Indian journal of medical research Jun 1, 2021
BACKGROUND & OBJECTIVES: Low pathogenic avian influenza (LPAI) viruses cause mild clinical illness in domestic birds. Migratory birds are a known reservoir for all subtypes of avian influenza (AI) viruses. The objective of the study was to characteri...
Humans Animals Influenza in Birds Birds Animals, Wild Phylogeny Influenza A virus India Neuraminidase
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Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide Compositions.

Molecular biology and evolution Apr 1, 2020
Each influenza pandemic was caused at least partly by avian- and/or swine-origin influenza A viruses (IAVs). The timing of and the potential IAVs involved in the next pandemic are currently unpredictable. We aim to build machine learning (ML) models ...
Humans Machine Learning Influenza A virus Host-Pathogen Interactions Viral Proteins Adaptation, Biological
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Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

Health security Jan 1, 2019
The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnosis, epidemic response, and prevention. Advances in DNA sequencing technology have enabled rapid meta...
Humans Neural Networks, Computer Machine Learning Phenotype Computer Simulation Animals Influenza in Birds Birds Influenza A virus Genotype Models, Biological Influenza, Human Viral Tropism
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