Evidence map›Paper›PMID 38313482›Full record

ArticleACS omega2024

Allosteric Signal within the Receptor-Binding Domain of the SARS-CoV-2 Spike Protein Mediated by a Class 3 Monoclonal Antibody Revealed through Molecular Dynamics Simulations and Protein Residue Networks.

Patamalai Boonserm, Wasusit Somsoros, Pongsak Khunrae, Krit Charupanit, Praopim Limsakul, Thana Sutthibutpong

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 2 institutions in 1 country.

Patamalai BoonsermDepartment of Microbiology, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand.
Wasusit SomsorosDepartment of Microbiology, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand.
Pongsak KhunraeDepartment of Microbiology, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand.
Krit CharupanitDepartment of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand.
Praopim LimsakulDivision of Physical Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand.
Thana SutthibutpongTheoretical and Computational Physics Group, Department of Physics, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand.ORCID https://orcid.org/0000-0002-4468-8885
King Mongkut's University of Technology Thonburi · THPrince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the allosteric action within the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein caused by class 3 monoclonal antibody (mAb) binding. As the emergence of SARS-CoV-2 variants has raised concerns about the effectiveness of treatments by antibodies, targeting the highly conserved class 3 epitopes has become an alternative strategy of antibody design. Simulations of explicitly solvated RBD of the BA.2.75 omicron subvariants were carried out both in the presence and in the absence of bebtelovimab, as a model example of class 3 monoclonal antibodies against the RBD of the SARS-CoV-2 spike protein. The comparative analysis showed that bebtelovimab's binding on two α helices at the epitope region disrupted the nearby interaction network, which triggered a denser interaction network formation on the opposite side of the receptor-binding motif (RBM) region and resulted in a "close" conformation that could prevent the ACE2 binding. A better understanding of this allosteric action could lead to the development of alternative mAbs for further variants of concern. In terms of computational techniques, the communicability matrix could serve as a tool to visualize the effects of allostery, as the pairs of amino acids or secondary structures with high communicability could pinpoint the possible sites to transfer the allosteric signal. Additionally, the communicability gain/loss matrix could help elucidate the consequences of allosteric actions, which could be employed along with other allostery quantification techniques in some previous studies.

Identifiers

PMID38313482
PMCPMC10831861
OpenAlexW4390975280

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.