Evidence map›Paper›PMID 29104775›Full record

ArticleActa naturae

Predicting the Evolutionary Variability of the Influenza A Virus.

T A Timofeeva, M N Asatryan, A D Altstein, B S Narodisky, A L Gintsburg, N V Kaverin

Abstract read
In one paragraph

Article in Acta naturae. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

T A TimofeevaFederal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Gamaleya Str. 18, Moscow, 123098, Russia.
M N AsatryanFederal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Gamaleya Str. 18, Moscow, 123098, Russia.
A D AltsteinFederal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Gamaleya Str. 18, Moscow, 123098, Russia.
B S NarodiskyFederal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Gamaleya Str. 18, Moscow, 123098, Russia.
A L GintsburgFederal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Gamaleya Str. 18, Moscow, 123098, Russia.
N V KaverinFederal State Budgetary Institution «N.F. Gamaleya FRCEM» of the Ministry of Health of the Russian Federation, Gamaleya Str. 18, Moscow, 123098, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influenza A virus remains one of the most common and dangerous human health concerns due to its rapid evolutionary dynamics. Since the evolutionary changes of influenza A viruses can be traced in real time, the last decade has seen a surge in research on influenza A viruses due to an increase in experimental data (selection of escape mutants followed by examination of their phenotypic characteristics and generation of viruses with desired mutations using reverse genetics). Moreover, the advances in our understanding are also attributable to the development of new computational methods based on a phylogenetic analysis of influenza virus strains and mathematical (integro-differential equations, statistical methods, probability-theory-based methods) and simulation modeling. Continuously evolving highly pathogenic influenza A viruses are a serious health concern which necessitates a coupling of theoretical and experimental approaches to predict the evolutionary trends of the influenza A virus, with a focus on the H5 subtype.

Indexed as

computational modelingcomputational toolsescape mutantsInfluenza A virusphenotypic characteristicsphylogenetic treesreverse genetics

Identifiers

PMID29104775
PMCPMC5662273

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.