Evidence map›Paper›PMID 35497518›Full record

ArticleRSC advances2021

Thermodynamics and kinetics in antibody resistance of the 501Y.V2 SARS-CoV-2 variant.

Son Tung Ngo, Trung Hai Nguyen, Duc-Hung Pham, Nguyen Thanh Tung, Pham Cam Nam

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. 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
0.3field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Son Tung NgoLaboratory of Theoretical and Computational Biophysics, Ton Duc Thang University Ho Chi Minh City Vietnam ngosontung@tdtu.edu.vn.ORCID https://orcid.org/0000-0003-1034-1768
Trung Hai NguyenLaboratory of Theoretical and Computational Biophysics, Ton Duc Thang University Ho Chi Minh City Vietnam ngosontung@tdtu.edu.vn.
Duc-Hung PhamDivision of Immunobiology, Cincinnati Children's Hospital Medical Center Cincinnati 45229 OH USA.
Nguyen Thanh TungInstitute of Materials Science, Vietnam Academy of Science and Technology Hanoi Vietnam.ORCID https://orcid.org/0000-0003-0232-7261
Pham Cam NamDepartment of Chemical Engineering, The University of Da Nang, University of Science and Technology Da Nang City Vietnam pcnam@dut.udn.vn.ORCID https://orcid.org/0000-0002-7257-544X
Ton Duc Thang University · VNCincinnati Children's Hospital Medical Center · USUniversity of Da Nang · VNVietnam Academy of Science and Technology · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the thermodynamics and kinetics of the binding process of an antibody to the SARS-CoV-2 receptor-binding domain (RBD) of the spike protein is very important for the development of COVID-19 vaccines. In particular, it is essential to understand how the binding mechanism may change under the effects of RBD mutations. In this context, we have demonstrated that the South African variant (B1.351 or 501Y.V2) can resist the neutralizing antibody (NAb). Three substitutions in the RBD including K417N, E484K, and N501Y alter the free energy landscape, binding pose, binding free energy, binding kinetics, hydrogen bonding, nonbonded contacts, and unbinding pathway of RBD + NAb complexes. The low binding affinity of NAb to 501Y.V2 RBD confirms the antibody resistance of the South African variant. Moreover, the fragment of NAb + RBD can be used as an affordable model to investigate changes in the binding process between the mutated RBD and antibodies.

Identifiers

PMID35497518
PMCPMC9042284
OpenAlexW3156442133

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.