Evidence map›Paper›PMID 30568344›Full record

ArticleJournal of clinical and experimental hepatology2018

Structural and Epitope Analysis (T- and B-Cell Epitopes) of Hepatitis C Virus (HCV) Glycoproteins: An

Anoop Kumar, Roma Pandey, Inderjit S Yadav, Mausumi Bharadwaj

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology, 2018. 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
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 9 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

4 authors at 3 institutions in 1 country.

Anoop KumarDivision of Molecular Genetics and Biochemistry, National Institute of Cancer prevention and research (NICPR) formerly Institute of Cytology and Preventive Oncology, Noida, India.
Roma PandeyDepartment of Biotechnology, Mangalmay Institute of Management and Technology, Greater Noida, India.
Inderjit S YadavSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India.
Mausumi BharadwajDivision of Molecular Genetics and Biochemistry, National Institute of Cancer prevention and research (NICPR) formerly Institute of Cytology and Preventive Oncology, Noida, India.
National Institute of Cancer Prevention and Research · INMangalmay Institute of Management and TechnologyPunjab Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic infection with Hepatitis C Virus (HCV) poses a major risk for liver disease like cirrhosis, liver failure and hepatocellular carcinoma. In terms of percentage, the prevalence of HCV in India was found to be low to moderate (1-1.5%), but in terms of sheer numbers, India has a significant number of global HCV patients. Presently, HCV can be treated with direct acting-antibody drugs but there is no prophylactic or therapeutic vaccine available against it. In HCV infection, T- and B-cell immunity is important for clearing the virus. In the present study immunoinformatics was used to identify potent vaccine target for HCV vaccine development.

methodsSequence of HCV was retrieved from NCBI and their structural analysis was done by using Protpram, PSIPRED, iTASSER and PDBsum servers. T-cell and B-cell epitopes were predicted by Immune Epitope Database and ACBPRED servers.

resultsOn epitope prediction, 25 and 55 potent MHC-I epitopes and 7 and 13 potent B-cell epitopes were predicted for E1 and E2 protein respectively. Their antigenicity score was also calculated. The most potent MHC-I epitopes were MMMNWSPAV and MAWDMMMNW for HLA-A*02:01 and HLA-B*53:01 and most potent B-cell epitope was TGHRMAWDMMMNWSPA for E1 protein. For E2, four MHC-I epitopes having the lowest binding energy and most potent B-cell epitope was DRPYCWHYAPRPCDTI.

conclusionIn the present study, most potent epitopes for HCV was determined on the basis of their antigenicity along with 3D modeling and docking. Identified B- and T-cell epitopes can be used for the development of potent vaccine against most prevalent HCV type in India to limit its infection.

Indexed as

B cell epitopeCHO, Chinese Hamster OvaryDAA, Direct Acting-AntiviralHCC, Hepatocellular CarcinomaHCVHCV, Hepatitis C Virushepatocellular carcinomaMHCvaccine

Identifiers

PMID30568344
PMCPMC6286880
OpenAlexW2794304452

What OpenQuestion holds

Textmetadata
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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.