Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Alpha influenza virus infiltration prediction using virus-human protein-protein interaction network

1 Jan 2020

Abstract excerpt

More than ten million deaths make influenza virus one of the deadliest of history. About half a million sever illnesses are annually reported consequent of influenza. Influenza is a parasite which needs the host cellular machinery to replicate its genome. To reach the host, viral proteins need to interact with the host proteins. Therefore, identification of host-virus protein interaction network (HVIN) is one of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bioinformatics and Genomic Networks
Share to Influenza Virus Research Studies
Share to Machine Learning in Bioinformatics

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32987519
DOI: 10.3934/mbe.2020176

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Alpha influenza virus infiltration prediction using virus-human protein-protein interaction networkPMID 32987519Read ↗

Prediction of influenza A virus-human protein-protein interactions using XGBoost with continuous and discontinuous amino acids informationSemantic proximity Read ↗

Different subtypes of influenza A viruses target different human proteins and pathways leading to different pathogenic phenotypesSemantic proximity Read ↗

Consortium of “consistent amino acid substitutions” on Influenza A (H1N1) viral proteome emerged at specific stages of viral infection: A big data analysisSemantic proximity Read ↗

Influenza A Virus–Host Protein Interactions Control Viral PathogenesisSemantic proximity Read ↗

Machine Learning Approaches for Predicting Virus-Human Protein-Protein Interactions: An Evaluation of Retroviral Interaction NetworksSemantic proximity Read ↗

Machine learning approach to predict protein-protein interactions between human and hepatitis E virus: revealing links to hepatocellular carcinomaSemantic proximity Read ↗

Review of computational methods for virus–host protein interaction prediction: a case study on novel Ebola–human interactionsSemantic proximity Read ↗

In-silico method for predicting infectious strains of Influenza A virus from its genome and protein sequencesSemantic proximity Read ↗

Identification of key candidate biomarkers for severe influenza infection by integrated bioinformatical analysis and initial clinical validationSemantic proximity Read ↗

In-depth 15 H7N9 Human Serum Proteomics Profiling StudySemantic proximity Read ↗

ViraHInter: a dual-modal artificial intelligence framework for predicting virus-host interactionsSemantic proximity Read ↗

Finding Prediction of Interaction between SARS-CoV-2 and Human Protein: A Data Driven ApproachSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.