Evidence map›Paper›PMID 38183172›Full record

ArticleProteins2024

Mechanistic study of the transmission pattern of the SARS-CoV-2 omicron variant.

Ke An, Xianzhi Yang, Mengqi Luo, Junfang Yan, Peiyi Xu, Honghui Zhang, Yuqing Li, Song Wu, Arieh Warshel, Chen Bai

Open access · hybridAbstract read
In one paragraph

Article in Proteins, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

10 authors at 3 institutions in 2 countries.

Ke AnSchool of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.ORCID 0000-0002-2741-8269
Xianzhi YangInstitute of Urology, The Third Affiliated Hospital of Shenzhen University (Luohu Hospital Group), Shenzhen, China.
Mengqi LuoCollege of Management, Shenzhen University, Shenzhen, China.
Junfang YanSchool of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
Peiyi XuSchool of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
Honghui ZhangSchool of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
Yuqing LiDepartment of Urology, South China Hospital of Shenzhen University, Shenzhen, China.
Song WuDepartment of Urology, South China Hospital of Shenzhen University, Shenzhen, China.
Arieh WarshelDepartment of Chemistry, University of Southern California, Los Angeles, California, USA.
Chen BaiSchool of Life and Health Sciences, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
Chinese University of Hong Kong, Shenzhen · CNShenzhen University · CNUniversity of Southern California · US

Funding

Multiscale Simulations of Biological Systems and ProcessesR35GM122472 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARIEH WARSHEL · 2017 to 2026
$5.0M
NIGMS NIH HHS R35 GM122472NIH HHS GM122472
6 · The paper itself

Abstract

The omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) characterized by 30 mutations in its spike protein, has rapidly spread worldwide since November 2021, significantly exacerbating the ongoing COVID-19 pandemic. In order to investigate the relationship between these mutations and the variant's high transmissibility, we conducted a systematic analysis of the mutational effect on spike-angiotensin-converting enzyme-2 (ACE2) interactions and explored the structural/energy correlation of key mutations, utilizing a reliable coarse-grained model. Our study extended beyond the receptor-binding domain (RBD) of spike trimer through comprehensive modeling of the full-length spike trimer rather than just the RBD. Our free-energy calculation revealed that the enhanced binding affinity between the spike protein and the ACE2 receptor is correlated with the increased structural stability of the isolated spike protein, thus explaining the omicron variant's heightened transmissibility. The conclusion was supported by our experimental analyses involving the expression and purification of the full-length spike trimer. Furthermore, the energy decomposition analysis established those electrostatic interactions make major contributions to this effect. We categorized the mutations into four groups and established an analytical framework that can be employed in studying future mutations. Additionally, our calculations rationalized the reduced affinity of the omicron variant towards most available therapeutic neutralizing antibodies, when compared with the wild type. By providing concrete experimental data and offering a solid explanation, this study contributes to a better understanding of the relationship between theories and observations and lays the foundation for future investigations.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19MutationProtein BindingSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, NeutralizingHumansModels, MolecularMolecular Dynamics SimulationThermodynamicsACE2 protein, humanAngiotensin-Converting Enzyme 2Antibodies, NeutralizingSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2computational biologyomicronSARS‐CoV‐2spike protein

Identifiers

PMID38183172
PMCPMC11059747
OpenAlexW4390638222

What OpenQuestion holds

Textmetadata
LicenceTDM
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.