ArticleMolecules (Basel, Switzerland)2018
Scoring Amino Acid Mutations to Predict Avian-to-Human Transmission of Avian Influenza Viruses.
Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Influenza virus genotype to phenotype predictions through machine learning: a systematic review.Emerging microbes & infections · 2021Pooled it
- Flu-CNN: identifying host specificity of Influenza A virus using convolutional networks.Human genomics · 2025Article
- Machine learning methods for predicting human-adaptive influenza A virus reassortment based on intersegment constraint.Frontiers in microbiology · 2025Article
- Mammalian adaptation risk in HPAI H5N8: a comprehensive model bridging experimental data with mathematical insights.Emerging microbes & infections · 2024Article
- Identifying host-specific amino acid signatures for influenza A viruses using an adjusted entropy measure.BMC bioinformatics · 2022Article
- Evolution of the North American Lineage H7 Avian Influenza Viruses in Association with H7 Virus's Introduction to Poultry.Journal of virology · 2022Article
- Using amino acid features to identify the pathogenicity of influenza B virus.Infectious diseases of poverty · 2022Article
- Predicting Cross-Species Infection of Swine Influenza Virus with Representation Learning of Amino Acid Features.Computational and mathematical methods in medicine · 2021Article
- Applications of Machine Learning for the Classification of Porcine Reproductive and Respiratory Syndrome Virus Sublineages Using Amino Acid Scores of ORF5 Gene.Frontiers in veterinary science · 2021Article
- Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide Compositions.Molecular biology and evolution · 2020Article
- Review
- Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus.Infectious diseases of poverty · 2020Article
- Molecular Computing and Bioinformatics.Molecules (Basel, Switzerland) · 2019Article
- Scoring amino acid mutation to predict pandemic risk of avian influenza virus.BMC bioinformatics · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Avian influenza virus (AIV) can directly cross species barriers and infect humans with high fatality. Using machine learning methods, the present paper scores the amino acid mutations and predicts interspecies transmission. Initially, 183 signature positions in 11 viral proteins were screened by the scores of five amino acid factors and their random forest rankings. The most important amino acid factor (Factor 3) and the minimal range of signature positions (50 amino acid residues) were explored by a supporting vector machine (the highest-performing classifier among four tested classifiers). Based on these results, the avian-to-human transmission of AIVs was analyzed and a prediction model was constructed for virology applications. The distributions of human-origin AIVs suggested that three molecular patterns of interspecies transmission emerge in nature. The novel findings of this paper provide important clues for future epidemic surveillance.
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