AIMC Topic: Orthomyxoviridae

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Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza.

EBioMedicine Aug 19, 2021
BACKGROUND: Respiratory virus infections are significant causes of morbidity and mortality, and may induce host metabolite alterations by infecting respiratory epithelial cells. We investigated the use of liquid chromatography quadrupole time-of-flig...
Metabolomics Metabolome Child Molecular Diagnostic Techniques Adult Orthomyxoviridae Male Nasal Mucosa Adolescent Pyrrolidonecarboxylic Acid Child, Preschool Influenza, Human Machine Learning Humans Gas Chromatography-Mass Spectrometry Female
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PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses.

Scientific reports Feb 5, 2021
Viral co-infections occur in COVID-19 patients, potentially impacting disease progression and severity. However, there is currently no dedicated method to identify viral co-infections in patient RNA-seq data. We developed PACIFIC, a deep-learning alg...
COVID-19 Testing Orthomyxoviridae RNA-Seq Coinfection Coronaviridae Metapneumovirus RNA Viruses RNA Virus Infections COVID-19 SARS-CoV-2 Sensitivity and Specificity Deep Learning Humans Neural Networks, Computer Rhinovirus
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Convolutional Neural Network Based Approach to in Silico Non-Anticipating Prediction of Antigenic Distance for Influenza Virus.

Viruses Sep 12, 2020
Evaluation of the antigenic similarity degree between the strains of the influenza virus is highly important for vaccine production. The conventional method used to measure such a degree is related to performing the immunological assays of hemaggluti...
Antigens, Viral Hemagglutinin Glycoproteins, Influenza Virus Amino Acid Sequence Influenza, Human Neural Networks, Computer Influenza A Virus, H1N1 Subtype Humans Computer Simulation Orthomyxoviridae
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Differentiation of Cytopathic Effects (CPE) induced by influenza virus infection using deep Convolutional Neural Networks (CNN).

PLoS computational biology May 13, 2020
Cell culture remains as the golden standard for primary isolation of viruses in clinical specimens. In the current practice, researchers have to recognize the cytopathic effects (CPE) induced by virus infection and subsequently use virus-specific mon...
Dogs Madin Darby Canine Kidney Cells Orthomyxoviridae Orthomyxoviridae Infections Animals Neural Networks, Computer Cytopathogenic Effect, Viral Antibodies, Monoclonal
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Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure.

eLife Dec 13, 2018
Optical super-resolution microscopy techniques enable high molecular specificity with high spatial resolution and constitute a set of powerful tools in the investigation of the structure of supramolecular assemblies such as viruses. Here, we report o...
Vaccines, Attenuated Image Processing, Computer-Assisted Microscopy, Fluorescence Machine Learning Influenza Vaccines Algorithms Automation Newcastle disease virus Orthomyxoviridae
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Structure-activity relationship studies of 1-(1'-hydroxyalkyl)rupestonic acid methyl esters against influenza viruses.

Bioorganic & medicinal chemistry letters Jun 6, 2016
A series of 1-(1'-hydroxyalkyl)rupestonic acid methyl esters were synthesized via the condensation of methyl rupestonate with various aldehydes in the presence of LDA. This mixed aldol reaction was highly stereoselective and all the new compounds wer...
Sesquiterpenes Crystallography, X-Ray Structure-Activity Relationship Azulenes Microbial Sensitivity Tests Orthomyxoviridae Esters Antiviral Agents
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