Evidence map›Paper›PMID 37915849›Full record

ArticleFrontiers in microbiology2023

Immunoinformatic exploration of a multi-epitope-based peptide vaccine candidate targeting emerging variants of SARS-CoV-2.

K M Kumar, Yalpi Karthik, D Ramakrishna, S Balaji, Sinosh Skariyachan, T P Krishna Murthy, Kunnathur Murugesan Sakthivel, Badriyah S Alotaibi, Mustafa Shukry, Samy M Sayed and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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  13. Isolation and characterization ofFrontiers in microbiology · 2025
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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

11 authors at 8 institutions in 3 countries.

K M KumarDepartment of Bioinformatics, Pondicherry University, Pondicherry, India.
Yalpi KarthikDepartment of Studies and Research in Microbiology, Mangalore University, Chikka Aluvara, Kodagu, Karnataka, India.
D RamakrishnaBiotechnology Department, Dayananda Sagar College of Engineering, Dr. C.D Sagar Centre for Life Sciences, Dayananda Sagar Institutions, Bengaluru, India.
S BalajiCentre for Incubation, Innovation, Research and Consultancy (CIIRC®), Jyothy Institute of Technology, Bengaluru, Karnataka, India.
Sinosh SkariyachanDepartment of Microbiology, St. Pius X College, Rajapuram, Kerala, India.
T P Krishna MurthyDepartment of Biotechnology, Ramaiah Institute of Technology, Bengaluru, Karnataka, India.
Kunnathur Murugesan SakthivelDepartment of Biochemistry, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India.
Badriyah S AlotaibiDepartment of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Mustafa ShukryPhysiology Department, Faculty of Veterinary Medicine, Kafrelsheikh University, Kafrelsheikh, Egypt.
Samy M SayedDepartment of Economic Entomology and Pesticides, Faculty of Agriculture, Cairo University, Giza, Egypt.
Muntazir MushtaqMS Swaminathan School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Solan, Himachal Pradesh, India.
Cairo University · EGDr. Hari Singh Gour University · INKafrelsheikh University · EGMangalore University · INM S Ramaiah University of Applied Sciences · INPondicherry University · INPrincess Nourah bint Abdulrahman University · SAShoolini University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many countries around the world are facing severe challenges due to the recently emerging variants of SARS-CoV-2. Over the last few months, scientists have been developing treatments, drugs, and vaccines to subdue the virus and prevent its transmission. In this context, a peptide-based vaccine construct containing pathogenic proteins of the virus known to elicit an immune response was constructed. An analysis of the spike protein-based epitopes allowed us to design an "epitope-based subunit vaccine" against coronavirus using the approaches of "reverse vaccinology" and "immunoinformatics." Computational experimentation and a systematic, comprehensive protocol were followed with an aim to develop and design a multi-epitope-based peptide (MEBP) vaccine candidate. Our study attempted to predict an MEBP vaccine by introducing mutations of SARS-CoV-2 (Delta, Lambda, Iota, Omicron, and Kappa) in Spike glycoprotein and predicting dual-purpose epitopes (B-cell and T-cell). This was followed by screening the selected epitopes based on antigenicity, allergenicity, and population coverage and constructing them into a vaccine by using linkers and adjuvants. The vaccine construct was analyzed for its physicochemical properties and secondary structure prediction, and a 3D structure was built, refined, and validated. Furthermore, the peptide-protein interaction of the vaccine construct with Toll-like receptor (TLR) molecules was performed. Immune profiling was performed to check the immune response. Codon optimization of the vaccine construct was performed to obtain the GC content before cloning it into the

Indexed as

immune response profilingin-silico modelingMD simulationpeptide-protein dockingSARS-CoV-2vaccine design

Identifiers

PMID37915849
PMCPMC10616776
OpenAlexW4387703711

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.