Guang Wu, Shaomin Yan. Prediction of possible mutations in H5N1 hemagglutitins of influenza A virus by means of logistic regression. Comparative Clinical Pathology
The relationship of mutations between 241 H5N1 hemagglutinins of influenza A virus was determined according to their amino acid and RNA codon sequences. Six probability values were calculated for each amino acid in each hemagglutinin. With these six numeric values as independents and the probability of mutation occurrence as dependent, a logistic regression was used to model 753 point mutations from the 241 hemagglutinins to derive population estimates. Thereafter, the future mutation positions in H5N1 hemagglutinin were predicted. Finally, the would-be-mutated amino acids in H5N1 hemagglutinin were predicted by means of translation probabilities between RNA codons and mutated amino acids.
See Also:
Latest articles in those days:
- High-throughput pseudovirus neutralisation maps the antigenic landscape of influenza A/H1N1 viruses 10 hours ago
- Timely vaccine strain selection and genomic surveillance improve evolutionary forecast accuracy of seasonal influenza A/H3N2 10 hours ago
- Evaluation of a Novel Data Source for National Influenza Surveillance: Influenza Hospitalization Data in the National Healthcare Safety Network, United States, September 2021-April 2024 10 hours ago
- Scenarios for pre-pandemic zoonotic influenza preparedness and response 10 hours ago
- Stability of Avian Influenza A(H5N1) Virus in Milk from Infected Cows and Virus-Spiked Milk 1 days ago
[Go Top] [Close Window]


