Evidence map›Paper›PMID 32421065›Full record

ArticleInternational journal of peptide research and therapeutics2020

Exploring Lassa Virus Proteome to Design a Multi-epitope Vaccine Through Immunoinformatics and Immune Simulation Analyses.

Sifat Bin Sayed, Zulkar Nain, Md Shakil Ahmed Khan, Faruq Abdulla, Rubaia Tasmin, Utpal Kumar Adhikari

Open access · bronzeAbstract read
In one paragraph

Article in International journal of peptide research and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 81 citations in OpenAlex.

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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 2 institutions in 2 countries.

Sifat Bin SayedDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia, 7003 Bangladesh.ORCID 0000-0002-4786-0337
Zulkar NainDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia, 7003 Bangladesh.ORCID 0000-0003-0819-3137
Md Shakil Ahmed KhanDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia, 7003 Bangladesh.
Faruq AbdullaDepartment of Statistics, Faculty of Sciences, Islamic University, Kushtia, 7003 Bangladesh.
Rubaia TasminDepartment of Pharmacy, Faculty of Biological Sciences, Islamic University, Kushtia, 7003 Bangladesh.
Utpal Kumar AdhikariSchool of Medicine, Western Sydney University, Campbelltown, NSW 2560 Australia.ORCID 0000-0002-0754-8664
Islamic University · BDCamden and Campbelltown Hospitals · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lassa virus (LASV) is responsible for a type of acute viral haemorrhagic fever referred to as Lassa fever. Lack of adequate treatment and preventive measures against LASV resulted in a high mortality rate in its endemic regions. In this study, a multi-epitope vaccine was designed using immunoinformatics as a prophylactic agent against the virus. Following a rigorous assessment, the vaccine was built using T-cell (N

Indexed as

Immune simulationImmunoinformaticsLassa feverMolecular dockingPeptide vaccine

Identifiers

PMID32421065
PMCPMC7223894
OpenAlexW2997888749

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.