Evidence map›Paper›PMID 29379262›Full record

ArticleBioinformation2017

Computer aided epitope design as a peptide vaccine component against Lassa virus.

Ar-Rafi Md Faisal, Syed Hassan Imtiaz, Tasnim Zerin, Tania Rahman, Hossain Uddin Shekhar

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

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  8. Exploratory Algorithm of a Multi-epitope-based Subunit Vaccine Candidate AgainstInternational journal of peptide research and therapeutics · 2022
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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

5 authors at 1 institution in 1 country.

Ar-Rafi Md Faisal *Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Syed Hassan Imtiaz *Department of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka-1000, Bangladesh.
Tasnim Zerin *Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Tania Rahman *Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Hossain Uddin Shekhar *Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
University of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lassa virus (LASV) is an arena virus causing hemorrhagic fever and it is endemic in several regions of West Africa. The disease-causing virus records high mortality rate in endemic regions due to lack of appropriate treatment and prevention strategies. Therefore, it is of interest to design and develop viable vaccine components against the virus. We used the Lassa virus envelope glyco-proteins as a vaccine target to identify linear peptides as potential epitopes with immunogenic properties by computer aided epitope prediction tools. We report a T-cell epitope 'LLGTFTWTL' and a B-cell epitope 'AELKCFGNTAVAKCNE' with predicted potential immunogenicity for further in vivo and in vitro consideration.

Indexed as

envelope glycoproteinepitope-based vaccineLassa virus

Identifiers

PMID29379262
PMCPMC5767920
OpenAlexW2792823747

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.