Evidence map›Paper›PMID 28383669›Full record

ArticleBioinformatics (Oxford, England)2017

Use of AAScatterPlot tool for monitoring the evolution of the hemagglutinin cleavage site in H9 avian influenza viruses.

Donald W Lee, Gary R Whittaker

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

2 authors at 1 institution in 1 country.

Donald W LeeSchool of Chemical and Biomolecular Engineering.
Gary R WhittakerDepartment of Microbiology and Immunology, Cornell University, Ithaca, NY, USA.
Cornell University · US

Funding

NIAID NIH HHS HHSN272201400005C
6 · The paper itself

Abstract

motivationViruses rapidly evolve due to their error-prone genome replication, and identifying which mutations are selected for during evolution is critical for virus surveillance efforts. Here we introduce a scatter plot tool (AAScatterPlot) that easily shows the selection and avoidance of certain protein mutations based on biochemical properties. We demonstrate its utility for monitoring the evolution of H9 avian influenza viruses from China between 2005 and 2015, particularly at the hemagglutinin (HA) proteolytic cleavage site (PCS) that can affect virus activation and pathogenicity.

resultsGiven genome sequences, the AAScatterPlot tool compacts into a single plot, information about the hydropathy index, Van der Waals volume, chemical property and occurrence frequency of amino acid residues. The tool also shows the range of residues that could arise from a single point mutation in the genome, which can then be compared against the observed residues to identify mutation constraints. Through this approach, we found that the 2nd position towards the N-terminus side of the HA PCS (P2 position) avoided hydrophobic residues, whereas the P3 position avoided hydrophilic residues. AVAILABILITY AND IMPLEMENTATION: AAScatterPlot is available at https://github.com/WhittakerLab/AAScatterPlot. CONTACT: gary.whittaker@cornell.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Evolution, MolecularSoftwareAnimalsBirdsGenomicsHemagglutinin Glycoproteins, Influenza VirusInfluenza A virusInfluenza in BirdsHemagglutinin Glycoproteins, Influenza Virus

Identifiers

PMID28383669
PMCPMC5859973
OpenAlexW2605094438

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.