Evidence map›Paper›PMID 30679646›Full record

ArticleScientific reports2019

Immunoinformatic and systems biology approaches to predict and validate peptide vaccines against Epstein-Barr virus (EBV).

Arif Ali, Abbas Khan, Aman Chandra Kaushik, Yanjie Wang, Syed Shujait Ali, Muhammad Junaid, Shoaib Saleem, William C S Cho, Xueying Mao, Dong-Qing Wei

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 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

10 authors at 4 institutions in 2 countries.

Arif AliState Key Laboratory of Microbial Metabolism, and College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. arif_sjtu@sjtu.edu.cn.
Abbas KhanState Key Laboratory of Microbial Metabolism, and College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0001-8349-5181
Aman Chandra KaushikState Key Laboratory of Microbial Metabolism, and College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yanjie WangState Key Laboratory of Microbial Metabolism, and College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Syed Shujait AliCenter for Biotechnology and Microbiology, University of Swat, Khyber Pakhtunkhwa, Pakistan.
Muhammad JunaidState Key Laboratory of Microbial Metabolism, and College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Shoaib SaleemCenter for Biotechnology and Microbiology, University of Swat, Khyber Pakhtunkhwa, Pakistan.
William C S ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong.
Xueying MaoQianweichang College, Shanghai University, Shanghai, China.
Dong-Qing WeiState Key Laboratory of Microbial Metabolism, and College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. dqwei@sjtu.edu.cn.ORCID 0000-0003-4200-7502
Shanghai Jiao Tong University · CNUniversity of Swat · PKQueen Elizabeth Hospital · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epstein-Barr virus (EBV), also known as human herpesvirus 4 (HHV-4), is a member of the Herpesviridae family and causes infectious mononucleosis, Burkitt's lymphoma, and nasopharyngeal carcinoma. Even in the United States of America, the situation is alarming, as EBV affects 95% of the young population between 35 and 40 years of age. In this study, both linear and conformational B-cell epitopes as well as cytotoxic T-lymphocyte (CTL) epitopes were predicted by using the ElliPro and NetCTL.1.2 webservers for EBV proteins (GH, GL, GB, GN, GM, GP42 and GP350). Molecular modelling tools were used to predict the 3D coordinates of peptides, and these peptides were then docked against the MHC molecules to obtain peptide-MHC complexes. Studies of their post-docking interactions helped to select potential candidates for the development of peptide vaccines. Our results predicted a total of 58 T-cell epitopes of EBV;  where the most potential were selected based on their TAP, MHC binding and C-terminal Cleavage score. The top most peptides were subjected to MD simulation and stability analysis. Validation of our predicted epitopes using a 0.45 µM concentration was carried out by using a systems biology approach. Our results suggest a panel of epitopes that could be used to immunize populations to protect against multiple diseases caused by EBV.

Indexed as

Computational BiologyEpitopes, T-LymphocyteEpstein-Barr Virus InfectionsHerpesvirus 4, HumanHistocompatibility Antigens Class IHLA AntigensHumansMembrane GlycoproteinsSystems BiologyT-Lymphocytes, CytotoxicVaccines, SubunitViral ProteinsViral VaccinesEpitopes, T-LymphocyteHistocompatibility Antigens Class IHLA AntigensMembrane GlycoproteinsVaccines, SubunitViral ProteinsViral Vaccines

Identifiers

PMID30679646
PMCPMC6346095
OpenAlexW2914280503

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.