Evidence map›Paper›PMID 30368237›Full record

ArticleJournal of translational medicine2018

Peptide vaccine against chikungunya virus: immuno-informatics combined with molecular docking approach.

Muhammad Tahir Ul Qamar, Amna Bari, Muhammad Muzammal Adeel, Arooma Maryam, Usman Ali Ashfaq, Xiaoyong Du, Iqra Muneer, Hafiz Ishfaq Ahmad, Jia Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Review: The Antiviral Activity of Cyclic Peptides.International journal of peptide research and therapeutics · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Vaccinomics to Design a Multi-Epitopes Vaccine forInternational journal of environmental research and public health · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 4 institutions in 2 countries.

Muhammad Tahir Ul QamarHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University (HZAU), Wuhan, People's Republic of China.
Amna BariDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
Muhammad Muzammal AdeelHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University (HZAU), Wuhan, People's Republic of China.
Arooma MaryamDepartment of Biosciences, COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan.
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan. usmancemb@gmail.com.
Xiaoyong DuHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University (HZAU), Wuhan, People's Republic of China.
Iqra MuneerSchool of Life Sciences, University of Science and Technology of China, Hefei, People's Republic of China.
Hafiz Ishfaq AhmadKey Lab of Animal Genetics, Breeding and Reproduction of Ministry Education, College of Animal Sciences & Technology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Jia WangHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University (HZAU), Wuhan, People's Republic of China. wang.jia@mail.hzau.edu.cn.
Huazhong Agricultural University · CNGovernment College University, Faisalabad · PKCOMSATS University Islamabad · PKUniversity of Science and Technology of China · CN

Funding

Ministry of Education of the People's Republic of China 2662018JC034
6 · The paper itself

Abstract

backgroundChikungunya virus (CHIKV), causes massive outbreaks of chikungunya infection in several regions of Asia, Africa and Central/South America. Being positive sense RNA virus, CHIKV replication within the host resulting in its genome mutation and led to difficulties in creation of vaccine, drugs and treatment strategies. Vector control strategy has been a gold standard to combat spreading of CHIKV infection, but to eradicate a species from the face of earth is not an easy task. Therefore, alongside vector control, there is a dire need to prevent the infection through vaccine as well as through antiviral strategies.

methodsThis study was designed to find out conserved B cell and T cell epitopes of CHIKV structural proteins through immuno-informatics and computational approaches, which may play an important role in evoking the immune responses against CHIKV.

resultsSeveral conserved cytotoxic T-lymphocyte epitopes, linear and conformational B cell epitopes were predicted for CHIKV structural polyprotein and their antigenicity was calculated. Among B-cell epitopes "PPFGAGRPGQFGDI" showed a high antigenicity score and it may be highly immunogenic. In case of T cell epitopes, MHC class I peptides 'TAECKDKNL' and MHC class II peptides 'VRYKCNCGG' were found extremely antigenic.

conclusionThe study led to the discovery of various epitopes, conserved among various strains belonging to different countries. The potential antigenic epitopes can be successfully utilized in designing novel vaccines for combating and eradication of CHIKV disease.

Indexed as

Molecular Docking SimulationAllelesAllergensAmino Acid SequenceChikungunya virusConserved SequenceEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHumansPhylogenyVaccines, SubunitAllergensEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IVaccines, SubunitB cell and T cell epitopesChikungunya virus (CHIKV)Computational approachesVaccine

Identifiers

PMID30368237
PMCPMC6204282
OpenAlexW2898429235

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.