Evidence map›Paper›PMID 34835456›Full record

ArticleMicroorganisms2021

Structural-Dynamics and Binding Analysis of RBD from SARS-CoV-2 Variants of Concern (VOCs) and GRP78 Receptor Revealed Basis for Higher Infectivity.

Abbas Khan, Anwar Mohammad, Inamul Haq, Mohammad Nasar, Waqar Ahmad, Qudsia Yousafi, Muhammad Suleman, Sajjad Ahmad, Aqel Albutti, Taimoor Khan and 5 more

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Prediction of viral-host interactions of COVID-19 by computational methods.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2022
    Article
  5. Article
  6. 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

15 authors.

Abbas KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Anwar MohammadDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0001-6318-8707
Inamul HaqDepartment of Animal Sciences, Jeonbuk National University, 567 Baekji-Daero, Deokjin-gu, Jeonju-si, Jeollabuk-do, Jeonju 54896, Korea.ORCID 0000-0003-0661-2203
Mohammad NasarDepartment of Biosciences, COMSATS University, Islamabad-Sahiwal Campus, Punjab 57000, Pakistan.ORCID 0000-0002-7660-1190
Waqar AhmadDepartment of Microbiology, Abdul Wali Khan University (AWKUM), Mardan 23200, Khyber Pakhtunkhwa, Pakistan.
Qudsia YousafiDepartment of Biosciences, COMSATS University, Islamabad-Sahiwal Campus, Punjab 57000, Pakistan.
Muhammad SulemanCenter for Biotechnology and Microbiology, University of Swat, Swat 19200, KP, Pakistan.ORCID 0000-0003-2914-1862
Sajjad AhmadDepartment of Health and Biological Sciences, Abasyn University, Peshawar 25120, Pakistan.
Aqel AlbuttiDepartment of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia.
Taimoor KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Sulaiman K MarafieDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0002-6786-7296
Eman AlshawafDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0003-1932-522X
Syed Shujait AliCenter for Biotechnology and Microbiology, University of Swat, Swat 19200, KP, Pakistan.
Jehad AbubakerDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.
Dong-Qing WeiDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-4200-7502

Funding

Ministry of Science and Technology of the People's Republic of China 32070662
6 · The paper itself

Abstract

Glucose-regulated protein 78 (GRP78) might be a receptor for SARS-CoV-2 to bind and enter the host cell. Recently reported mutations in the spike glycoprotein unique to the receptor-binding domain (RBD) of different variants might increase the binding and pathogenesis. However, it is still not known how these mutations affect the binding of RBD to GRP78. The current study provides a structural basis for the binding of GRP78 to the different variants, i.e., B.1.1.7, B.1.351, B.1.617, and P.1 (spike RBD), of SARS-CoV-2 using a biomolecular simulation approach. Docking results showed that the new variants bound stronger than the wild-type, which was further confirmed through the free energy calculation results. All-atom simulation confirmed structural stability, which was consistent with previous results by following the global stability trend. We concluded that the increased binding affinity of the B.1.1.7, B.1.351, and P.1 variants was due to a variation in the bonding network that helped the virus induce a higher infectivity and disease severity. Consequently, we reported that the aforementioned new variants use GRP78 as an alternate receptor to enhance their seriousness.

Indexed as

COVID-19GRP78infectivitynew variantsSARS-CoV-2

Identifiers

PMID34835456
PMCPMC8619099

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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.