Evidence map›Paper›PMID 34780495›Full record

ArticlePloS one2021

Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins.

Yengkhom Damayanti Devi, Himanshu Ballav Goswami, Sushmita Konwar, Chandrima Doley, Anutee Dolley, Arpita Devi, Chen Chongtham, Dikshita Dowerah, Vashkar Biswa, Latonglila Jamir and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  9. A novel vaccine based on SARS-CoV-2 CD4Scientific reports · 2022
    Article
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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

21 authors at 4 institutions in 1 country.

Yengkhom Damayanti DeviDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Himanshu Ballav GoswamiDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Sushmita KonwarDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Chandrima DoleyDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Anutee DolleyDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Arpita DeviDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Chen ChongthamDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Dikshita DowerahDepartment of Chemical Sciences, Tezpur University, Napaam, Assam, India.
Vashkar BiswaDepartment of Biotechnology, Bodoland University, Kokrajhar, Assam, India.
Latonglila JamirDepartment of Environmental Science, Nagaland University (Central), Lumami, India.
Aditya KumarDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.ORCID 0000-0002-6474-8830
Siddhartha Shankar SatapathyDepartment of Computer Science and Engineering, Tezpur University, Napaam, Assam, India.
Suvendra Kumar RayDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Ramesh Chandra DekaDepartment of Chemical Sciences, Tezpur University, Napaam, Assam, India.
Robin DoleyDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Manabendra MandalDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.
Sandeep DasDepartment of Biotechnology, Bodoland University, Kokrajhar, Assam, India.
Chongtham Shyamsunder SinghDepartment of Paediatrics, Regional Institute of Medical Sciences, Imphal, India.
Partha Pratim BorahDepartment of Paediatrics and Neonatology, Pratiksha Hospital, Borbari, Guwahati, Assam, India.
Pabitra NathDepartment of Physics, Tezpur University, Napaam, Assam, India.
Nima D NamsaDepartment of Molecular Biology and Biotechnology, Tezpur University, Napaam, Assam, India.ORCID 0000-0002-9412-8915
Tezpur University · INBodoland University · INNagaland University · INRegional Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All approved coronavirus disease 2019 (COVID-19) vaccines in current use are safe, effective, and reduce the risk of severe illness. Although data on the immunological presentation of patients with COVID-19 is limited, increasing experimental evidence supports the significant contribution of B and T cells towards the resolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Despite the availability of several COVID-19 vaccines with high efficacy, more effective vaccines are still needed to protect against the new variants of SARS-CoV-2. Employing a comprehensive immunoinformatic prediction algorithm and leveraging the genetic closeness with SARS-CoV, we have predicted potential immune epitopes in the structural proteins of SARS-CoV-2. The S and N proteins of SARS-CoV-2 and SARS-CoVs are main targets of antibody detection and have motivated us to design four multi-epitope vaccines which were based on our predicted B- and T-cell epitopes of SARS-CoV-2 structural proteins. The cardinal epitopes selected for the vaccine constructs are predicted to possess antigenic, non-allergenic, and cytokine-inducing properties. Additionally, some of the predicted epitopes have been experimentally validated in published papers. Furthermore, we used the C-ImmSim server to predict effective immune responses induced by the epitope-based vaccines. Taken together, the immune epitopes predicted in this study provide a platform for future experimental validations which may facilitate the development of effective vaccine candidates and epitope-based serological diagnostic assays.

Indexed as

Computational BiologyEpitope MappingAmino Acid SequenceCOVID-19 VaccinesDatabases as TopicEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHumansModels, MolecularProtein ConformationReproducibility of ResultsSARS-CoV-2Viral Structural ProteinsCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IViral Structural Proteins

Identifiers

PMID34780495
PMCPMC8592446
OpenAlexW3212324819

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.