AIMC Topic: Viral Tropism

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Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.

International journal of molecular sciences May 25, 2017
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortmen...
Humans Machine Learning Retrospective Studies Reproducibility of Results Animals Disease Outbreaks Influenza in Birds Birds Influenza A virus Models, Theoretical Databases, Genetic Area Under Curve Influenza, Human Host-Pathogen Interactions Viral Proteins Orthomyxoviridae Infections Zoonoses Viral Tropism Host Specificity
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Identification of dual-tropic HIV-1 using evolved neural networks.

Bio Systems Sep 28, 2015
Blocking the binding of the envelope HIV-1 protein to immune cells is a popular concept for development of anti-HIV therapeutics. R5 HIV-1 binds CCR5, X4 HIV-1 binds CXCR4, and dual-tropic HIV-1 can bind either coreceptor for cellular entry. R5 virus...
Neural Networks, Computer Models, Theoretical HIV-1 Viral Tropism
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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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