Evidence map›Paper›PMID 19591791›Full record

ArticleGenomics, proteomics & bioinformatics2009

Role of positive selection pressure on the evolution of H5N1 hemagglutinin.

Venkata R S K Duvvuri, Bhargavi Duvvuri, Wilfred R Cuff, Gillian E Wu, Jianhong Wu

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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  8. Phylogenetic analysis of HPAI H5N1 virus from duck swab specimens in Indonesia.Journal of advanced veterinary and animal research · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Venkata R S K DuvvuriCenter for Disease Modeling, York Institute of Health Research, York University, Toronto, Ontario, Canada. dvenkata@yorku.ca
Bhargavi Duvvuri
Wilfred R Cuff
Gillian E Wu
Jianhong Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The surface glycoprotein hemagglutinin (HA) helps the influenza A virus to evade the host immune system by antigenic variation and is a major driving force for viral evolution. In this study, the selection pressure on HA of H5N1 influenza A virus was analyzed using bioinformatics algorithms. Most of the identified positive selection (PS) sites were found to be within or adjacent to epitope sites. Some of the identified PS sites are consistent with previous experimental studies, providing further support to the biological significance of our findings. The highest frequency of PS sites was observed in recent strains isolated during 2005-2007. Phylogenetic analysis was also conducted on HA sequences from various hosts. Viral drift is almost similar in both avian and human species with a progressive trend over the years. Our study reports new mutations in functional regions of HA that might provide markers for vaccine design or can be used to predict isolates of pandemic potential.

Indexed as

Computational BiologySelection, GeneticAlgorithmsAmino Acid SequenceAnimalsEpitopesEvolution, MolecularHemagglutininsHumansInfluenza A Virus, H5N1 SubtypeMolecular Sequence DataMutationPhylogenySequence AlignmentViral ProteinsEpitopesHemagglutininsViral Proteins

Identifiers

PMID19591791
PMCPMC5054228

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LicenceCC BY-NC-SA
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.