Evidence map›Paper›PMID 34158771›Full record

ArticleEthiopian journal of health sciences2021

Functional and Structural Characterization of SARS-Cov-2 Spike Protein: An

Hadi Sedigh Ebrahim-Saraie, Behzad Dehghani, Ali Mojtahedi, Mohammad Shenagari, Meysam Hasannejad-Bibalan

Abstract read
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Article in Ethiopian journal of health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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.

Hadi Sedigh Ebrahim-SaraieRazi Clinical Research Development Unit, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran.
Behzad DehghaniShiraz HIV/AIDS Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali MojtahediDepartment of Microbiology, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Mohammad ShenagariDepartment of Microbiology, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Meysam Hasannejad-BibalanDepartment of Microbiology, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the global outbreak of coronavirus disease 2019 (Covid-19), which has been considered as a pandemic by WHO. SARS-CoV-2 encodes four major structural proteins, among which spike protein has always been a main target for new vaccine studies. This in silico study aimed to investigate some physicochemical, functional, immunological, and structural features of spike protein using several bioinformatics tools.

methodWe retrieved all SARS-CoV-2 spike protein sequences from different countries registered in NCBI GenBank. CLC Sequence Viewer was employed to translate and align the sequences, and several programs were utilized to predict B-cell epitopes. Modification sites such as phosphorylation, glycosylation, and disulfide bonds were defined. Secondary and tertiary structures of all sequences were further computed.

resultsSome mutations were determined, where only one (D614G) had a high prevalence. The mutations did not impact the B-cell and physicochemical properties of the spike protein. Seven disulfide bonds were specified and also predicted in several N-link glycosylation and phosphorylation sites. The results also indicated that spike protein is a non-allergen.

conclusionIn summary, our findings provided a deep understanding of spike protein, which can be valuable for future studies on SARS-CoV-2 infections and design of new vaccines.

Indexed as

COVID-19Spike Glycoprotein, CoronavirusComputer SimulationHumansSARS-CoV-2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2BioinformaticsMutationPostmodificationSARS-CoV-2Spike

Identifiers

PMID34158771
PMCPMC8188087

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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.