Evidence map›Paper›PMID 39066312›Full record

ArticleViruses2024

Impact of Missense Mutations on Spike Protein Stability and Binding Affinity in the Omicron Variant.

Vidhyanand Mahase, Adebiyi Sobitan, Qiaobin Yao, Xinghua Shi, Hong Qin, Dawit Kidane, Qiyi Tang, Shaolei Teng

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Vidhyanand MahaseDepartment of Biology, Howard University, Washington, DC 20059, USA.
Adebiyi SobitanDepartment of Biology, Howard University, Washington, DC 20059, USA.
Qiaobin YaoDepartment of Biology, Howard University, Washington, DC 20059, USA.
Xinghua ShiDepartment of Computer & Information Sciences, Temple University, Philadelphia, PA 19122, USA.
Hong QinDepartment of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.ORCID 0000-0002-1060-6722
Dawit KidaneDepartment of Physiology and Biophysics, Howard University College of Medicine, Washington, DC 20059, USA.
Qiyi TangDepartment of Microbiology, Howard University College of Medicine, Washington, DC 20059, USA.ORCID 0000-0002-6487-2356
Shaolei TengDepartment of Biology, Howard University, Washington, DC 20059, USA.

Funding

Sleep Disorders in Adults with Sickle Cell Disease: Frequency, Associations with Cardiovascular and Pain Indicators, and Responses to TreatmentU54MD007597 · NIMHD · HOWARD UNIVERSITY · PI BYRON D. FORD · 2019 to 2026
$37.7M
National Institute on Minority Health and Health Disparities of the National Institutes of Health 2U54MD007597National Science Foundation 2200138National Science Foundation DBI 2000296, IIS 1924092, and HRD 2011933NIMHD NIH HHS U54 MD007597
6 · The paper itself

Abstract

The global effort to combat the COVID-19 pandemic faces ongoing uncertainty with the emergence of Variants of Concern featuring numerous mutations on the Spike (S) protein. In particular, the Omicron Variant is distinguished by 32 mutations, including 10 within its receptor-binding domain (RBD). These mutations significantly impact viral infectivity and the efficacy of vaccines and antibodies currently in use for therapeutic purposes. In our study, we employed structure-based computational saturation mutagenesis approaches to predict the effects of Omicron missense mutations on RBD stability and binding affinity, comparing them to the original Wuhan-Hu-1 strain. Our results predict that mutations such as G431W and P507W induce the most substantial destabilizations in the Wuhan-Hu-1-S/Omicron-S RBD. Notably, we postulate that mutations in the Omicron-S exhibit a higher percentage of enhancing binding affinity compared to Wuhan-S. We found that the mutations at residue positions G447, Y449, F456, F486, and S496 led to significant changes in binding affinity. In summary, our findings may shed light on the widespread prevalence of Omicron mutations in human populations. The Omicron mutations that potentially enhance their affinity for human receptors may facilitate increased viral binding and internalization in infected cells, thereby enhancing infectivity. This informs the development of new neutralizing antibodies capable of targeting Omicron's immune-evading mutations, potentially aiding in the ongoing battle against the COVID-19 pandemic.

Indexed as

COVID-19Mutation, MissenseProtein BindingProtein StabilitySARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralBinding SitesHumansAntibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2computational saturation mutagenesisCOVID-19Omicron VariantSARS-CoV-2Spike protein

Identifiers

PMID39066312
PMCPMC11281596

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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.