Evidence map›Paper›PMID 35446879›Full record

ArticlePloS one2022

An in-silico study of the mutation-associated effects on the spike protein of SARS-CoV-2, Omicron variant.

Tushar Ahmed Shishir, Taslimun Jannat, Iftekhar Bin Naser

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.9field-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, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Molecular mechanisms of SARS-CoV-2 entry: implications for biomedical strategies.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  4. Article
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  9. Article
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  12. Update on the omicron sub-variants BA.4 and BA.5.Reviews in medical virology · 2023
    Review
  13. Review
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  15. 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

3 authors at 2 institutions in 1 country.

Tushar Ahmed ShishirDepartment of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.ORCID 0000-0002-1347-1739
Taslimun JannatDepartment of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.
Iftekhar Bin NaserDepartment of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.ORCID 0000-0002-0398-4143
BRAC University · BDRangamati Science and Technology University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of Omicron (B.1.1.529), a new Variant of Concern in the COVID-19 pandemic, while accompanied by the ongoing Delta variant infection, has once again fueled fears of a new infection wave and global health concern. In the Omicron variant, the receptor-binding domain (RBD) of its spike glycoprotein is heavily mutated, a feature critical for the transmission rate of the virus by interacting with hACE2. In this study, we used a combination of conventional and advanced neural network-based in silico approaches to predict how these mutations would affect the spike protein. The results demonstrated a decrease in the electrostatic potentials of residues corresponding to receptor recognition sites, an increase in the alkalinity of the protein, a change in hydrophobicity, variations in functional residues, and an increase in the percentage of alpha-helix structure. Moreover, several mutations were found to modulate the immunologic properties of the potential epitopes predicted from the spike protein. Our next step was to predict the structural changes of the spike and their effect on its interaction with the hACE2. The results revealed that the RBD of the Omicron variant had a higher affinity than the reference. Moreover, all-atom molecular dynamics simulations concluded that the RBD of the Omicron variant exhibits a more dispersed interaction network since mutations resulted in an increased number of hydrophobic interactions and hydrogen bonds with hACE2.

Indexed as

COVID-19SARS-CoV-2Angiotensin-Converting Enzyme 2HumansMutationPandemicsProtein BindingSpike Glycoprotein, CoronavirusAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35446879
PMCPMC9022835
OpenAlexW4226162365

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.