Evidence map›Paper›PMID 35265451›Full record

Article3 Biotech2022

Insights into the structure and dynamics of SARS-CoV-2 spike glycoprotein double mutant L452R-E484Q.

Shahzaib Ahamad, Kanipakam Hema, Shahnawaz Ahmad, Vijay Kumar, Dinesh Gupta

Open access · bronzeAbstract read
In one paragraph

Article in 3 Biotech, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 11 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 2 institutions in 2 countries.

Shahzaib AhamadTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067 India.
Kanipakam HemaTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067 India.
Shahnawaz AhmadTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067 India.
Vijay KumarAmity Institute of Neuropsychology and Neurosciences (AINN), Amity University, Noida, UP 201313 India.ORCID 0000-0002-3621-5025
Dinesh GuptaTranslational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067 India.ORCID 0000-0002-7548-8835
International Centre for Genetic Engineering and Biotechnology · INAmity University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Receptor Binding Domain (RBD) of SARS-CoV-2, located on the S1 subunit, plays a vital role in the virus binding and its entry into the host cell through angiotensin-converting enzyme 2 (ACE2) receptor. Therefore, understanding the dynamic effects of mutants on the SARS-CoV-2 RBD is essential for discovering drugs to inhibit the virus binding and disrupt its entry into the host cells. A recent study reported a double mutant of SARS-CoV-2, L452R-E484Q, located in the RBD region. Thus, this study employed various computational algorithms and methods to understand the structural impact of both individual variants L452R, E484Q, and the double mutant L452R-E484Q on the native RBD of spike glycoprotein. The effects of the mutations on native RBD structure were predicted by Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-022-03151-0.

Indexed as

Double mutantFree energy changeL452R-E484QMolecular dynamics simulationsSARS-CoV-2Spike glycoprotein

Identifiers

PMID35265451
PMCPMC8893057
OpenAlexW4214931996

What Socratic holds

Textmetadata
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 Socratic graph.