Evidence map›Paper›PMID 34474252›Full record

ArticleImmunobiology2021

In-silico immunoinformatic analysis of SARS-CoV-2 virus for the development of putative vaccine construct.

Abhishek Sharma, Surinder Pal, Anil Panwar, Suresh Kumar, Ashok Kumar

Abstract read
In one paragraph

Article in Immunobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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.

Abhishek SharmaCentre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India.
Surinder PalCentre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India.
Anil PanwarCentre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India.
Suresh KumarUniversity School of Biotechnology, Guru Gobind Singh Indraprastha University, Dwarka, Sector 16C, New Delhi 110075, India. Electronic address: sureshkumar@ipu.ac.in.
Ashok KumarCentre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India. Electronic address: ashokkumar@pu.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 (CoronaVirus disease 2019) is caused by the SARS-CoV-2 virus (severe acute respiratory syndrome corona virus 2). SARS-CoV-2 virus is highly contagious and affects the human respiratory tract resulting in symptoms such as high fever, body ache, cough, dysfunctions of tastebuds and smelling sense of body. The objective of the present study involves immunoinformatic analysis to predict COVID-19 protein for vaccine construct based on the genomic information SARS-CoV-2 virus. At present, as per WHO estimates, around 133 COVID-19 novel vaccines under development. Three amino acid sequences of SARS-CoV-2 were retrieved from the NCBI database for the analysis of vaccine construct. This study involves computational and immunoinformatic methods. The Immunoinformatic tools used in the present study are NetCTL server, IFN epitope server, Toxin PRED, BCPred, CTL + HTL + ADJUVANTS + LINKERS, AlgPredserver, VaxiJenserver, ProtParam to predict vaccine construct. The secondary and tertiary structure prediction is done by PSIPRED, I-TASSER, Galaxy refine, prosA + Ramachandran. Finally, docking of the vaccine constructs and ligand was done with the help of Cluspro 2.0. C-ImmSimm webserver to simulate the potential vaccine construct. The present study demonstrated three potential Vaccine constructs for the SARS-CoV-2 virus, which were docked with TLR8 (Toll-likereceptor8). Interestingly from these, all constructs one having a high potential for the inhibition effect of the SARS-CoV-2virus. Immunological simulation data shows significant elevated amount of memory B cell; also, the high response was seen in TH(Helper) and TC(cytotoxic) cell population from the vaccine construct proposed in the current study. Hence, these constructs are suitable vaccine candidates that might be useful in developing a novel vaccine.

Indexed as

COVID-19 VaccinesVaccines, SubunitAmino Acid SequenceAntigens, ViralB-LymphocytesComputational BiologyComputer SimulationCOVID-19EpitopesGenome, ViralSARS-CoV-2T-Lymphocytes, CytotoxicT-Lymphocytes, Helper-InducerToll-Like Receptor 8Antigens, ViralCOVID-19 VaccinesEpitopesToll-Like Receptor 8Vaccines, SubunitCOVID-19DockingImmunoinformaticsMolecular simulationsVaccine construct

Identifiers

PMID34474252
PMCPMC8404695

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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.