Evidence map›Paper›PMID 33382708›Full record

ArticlePloS one2020

iBRAB: In silico based-designed broad-spectrum Fab against H1N1 influenza A virus.

Phuc-Chau Do, Trung H Nguyen, Uyen H M Vo, Ly Le

Abstract read
In one paragraph

Article in PloS one, 2020. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in immunology
    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.

Phuc-Chau DoSchool of Biotechnology, International University, Thu Duc District, Hochiminh City, Vietnam.ORCID 0000-0002-0280-0816
Trung H NguyenSchool of Biotechnology, International University, Thu Duc District, Hochiminh City, Vietnam.
Uyen H M VoSchool of Biotechnology, International University, Thu Duc District, Hochiminh City, Vietnam.
Ly LeSchool of Biotechnology, International University, Thu Duc District, Hochiminh City, Vietnam.ORCID 0000-0002-3109-2177

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza virus A is a significant agent involved in the outbreak of worldwide epidemics, causing millions of fatalities around the world by respiratory diseases and seasonal illness. Many projects had been conducting to investigate recovered infected patients for therapeutic vaccines that have broad-spectrum activity. With the aid of the computational approach in biology, the designation for a vaccine model is more accessible. We developed an in silico protocol called iBRAB to design a broad-reactive Fab on a wide range of influenza A virus. The Fab model was constructed based on sequences and structures of available broad-spectrum Abs or Fabs against a wide range of H1N1 influenza A virus. As a result, the proposed Fab model followed iBRAB has good binding affinity over 27 selected HA of different strains of H1 influenza A virus, including wild-type and mutated ones. The examination also took by computational tools to fasten the procedure. This protocol could be applied for a fast-designed therapeutic vaccine against different types of threats.

Indexed as

Drug DesignAmino Acid SequenceAntibodies, ViralAntigens, ViralBinding SitesComputer SimulationHemagglutinin Glycoproteins, Influenza VirusHumansImmunoglobulin Fab FragmentsInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesMolecular Docking SimulationProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandAntibodies, ViralAntigens, ViralHemagglutinin Glycoproteins, Influenza VirusImmunoglobulin Fab FragmentsInfluenza Vaccines

Identifiers

PMID33382708
PMCPMC7774956

What OpenQuestion holds

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LicenceCC BY
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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.