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

Prediction of mutation trend in hemagglutinins and neuraminidases from influenza A viruses by means of cross-impact analysis.

Biochemical and biophysical research communications - 14 Jan 2005

Wu Guang, Yan Shaomin

Abstract excerpt

In this study, we use the cross-impact analysis to define the relationship among impact, mutation, and outbreak of bird flu. Then we use the distribution rank, which is developed by us over last several years, to quantify the mutations from amino acid sequences of 134 hemagglutinins and 97 neuraminidases. With the help of Bayesian equation, we calculate the probability of occurring of mutation in H5, H6, and H9...

Read the complete abstract on PubMed

Topics

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

Share to Amino Acids
Share to Birds
Share to Evolution, Molecular

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Hemagglutinin Glycoproteins, Influenza Virus

Share to Influenza A virus

Share to Neuraminidase

Share to Probability

Share to Time Factors

Source

Identifiers

PMID: 15582602
DOI: 10.1016/j.bbrc.2004.11.052

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prediction of mutation trend in hemagglutinins and neuraminidases from influenza A viruses by means of cross-impact analysis.PMID 15582602Read ↗

Co-evolution positions and rules for antigenic variants of human influenza A/H3N2 virusesSemantic proximity Read ↗

Predicting the dominant influenza A serotype by quantifying mutation activities.Semantic proximity Read ↗

Timing of mutation in influenza A virus hemagglutinins by means of amino-acid distribution rank and fast Fourier transform.Semantic proximity Read ↗

Using a mutual information-based site transition network to map the genetic evolution of influenza A/H3N2 virus.Semantic proximity Read ↗

Characterization of the evolutionary dynamics of influenza A H3N2 hemagglutininSemantic proximity Read ↗

Evolutionary Insights from Association Rule Mining of Co-Occurring Mutations in Influenza Hemagglutinin and Neuraminidase.Semantic proximity Read ↗

Prediction of mutations in H3N2 hemagglutinins of influenza A virus from North America based on different datasets.Semantic proximity Read ↗

Changed epitopes drive the antigenic drift for influenza A (H3N2) viruses.Semantic proximity Read ↗

Determination of mutation trend in hemagglutinins by means of translation probability between RNA codons and mutated amino acids.Semantic proximity Read ↗

Evidence obtained from ANOVA to reason cross-species infection and cross-subtype mutation in neuraminidases of influenza A viruses.Semantic proximity Read ↗

Deciphering the rule of antigen-antibody amino acid interaction.Semantic proximity Read ↗

Quantifying selection and diversity in viruses by entropy methods, with application to the haemagglutinin of H3N2 influenza.Semantic proximity Read ↗

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