Evidence map›Paper›PMID 24452536›Full record

ArticleVirologica Sinica2014

Differential selection in HIV-1 gp120 between subtype B and East Asian variant B'.

Stefan Dang, Yan Wang, Bettina Budeus, Jens Verheyen, Rongge Yang, Daniel Hoffmann

Open access · greenAbstract read
In one paragraph

Article in Virologica Sinica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 3 institutions in 2 countries.

Stefan DangResearch Group Bioinformatics, Center of Medical Biotechnology and Faculty of Biology, University of Duisburg-Essen, Essen, 45117, Germany.
Yan Wang
Bettina Budeus
Jens Verheyen
Rongge Yang
Daniel Hoffmann
University of Duisburg-Essen · DEChinese Academy of Sciences · CNWuhan Institute of Virology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIV-1 evolves strongly and undergoes geographic differentiation as it spreads in diverse host populations around the world. For instance, distinct genomic backgrounds can be observed between the pandemic subtype B, prevalent in Europe and North-America, and its offspring clade B' in East Asia. Here we ask whether this differentiation affects the selection pressure experienced by the virus. To answer this question we evaluate selection pressure on the HIV-1 envelope protein gp120 at the level of individual codons using a simple and fast estimation method based on the ratio k a /k s of amino acid changes to synonymous changes. To validate the approach we compare results to those from a state-of-the-art mixed-effect method. The agreement is acceptable, but the analysis also demonstrates some limitations of the simpler approach. Further, we find similar distributions of codons under stabilizing and directional selection pressure in gp120 for subtypes B and B' with more directional selection pressure in variable loops and more stabilizing selection in the constant regions. Focusing on codons with increased k a /k s values in B', we show that these codons are scattered over the whole of gp120, with remarkable clusters of higher density in regions flanking the variable loops. We identify a significant statistical association of glycosylation sites and codons with increased k a /k s values.

Indexed as

Evolution, MolecularSelection, GeneticAsiaCluster AnalysisCodonComputational BiologyEuropeGenotypeGlycosylationHIV-1HIV Envelope Protein gp120HIV InfectionsHumansMutation RateNorth AmericaPhylogeographyCodongp120 protein, Human immunodeficiency virus 1HIV Envelope Protein gp120

Identifiers

PMID24452536
PMCPMC8206395
OpenAlexW1501613878

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.