Evidence map›Paper›PMID 35540935›Full record

ArticleHeliyon2022

Immunogenic epitope prediction to create a universal influenza vaccine.

R R Mintaev, D V Glazkova, E V Bogoslovskaya, G A Shipulin

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. 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
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  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

4 authors at 2 institutions in 1 country.

R R MintaevFederal State Budgetary Institution «Center for Strategic Planning and Management of Medical and Biological Health Risks», 119833, Federal Medical-Biological Agency, Moscow, Russia.
D V GlazkovaFederal State Budgetary Institution «Center for Strategic Planning and Management of Medical and Biological Health Risks», 119833, Federal Medical-Biological Agency, Moscow, Russia.
E V BogoslovskayaFederal State Budgetary Institution «Center for Strategic Planning and Management of Medical and Biological Health Risks», 119833, Federal Medical-Biological Agency, Moscow, Russia.
G A ShipulinFederal State Budgetary Institution «Center for Strategic Planning and Management of Medical and Biological Health Risks», 119833, Federal Medical-Biological Agency, Moscow, Russia.
Federal Medical-Biological Agency · RUResearch Institute of Vaccines and Sera. Mechnikov of the Russian Academy of Medical Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza virus is one of the most rapidly evolving human pathogens and causes significant morbidity and mortality worldwide. This feature enables the virus to avoid natural or vaccine-induced immunity. For this reason, there is an intensive search for new approaches to create a universal influenza vaccine. Here, we propose pipelines based on modern prediction algorithms that allowed us to select 10 B-cell epitopes, 10 CD8+ T-cell epitopes and 6 CD4+ T-cell epitopes from influenza viruses that were characterized by high conservation and antigenicity. These epitopes could be used to create universal vaccines against influenza viruses. In addition, the scripts used in these pipelines are universal and can be used to select epitopes from other pathogens.

Indexed as

Computational approachesInfluenzaT- and B-cell epitopesUniversal vaccine

Identifiers

PMID35540935
PMCPMC9079173
OpenAlexW4225154634

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.