Evidence map›Paper›PMID 34324157›Full record

ArticleInterdisciplinary sciences, computational life sciences2021

In Silico Mutagenesis-Based Remodelling of SARS-CoV-1 Peptide (ATLQAIAS) to Inhibit SARS-CoV-2: Structural-Dynamics and Free Energy Calculations.

Abbas Khan, Shaheena Umbreen, Asma Hameed, Rida Fatima, Ujala Zahoor, Zainib Babar, Muhammad Waseem, Zahid Hussain, Muhammad Rizwan, Nasib Zaman and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Interdisciplinary sciences, computational life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

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  6. Cytokines inhibitory mechanism ofIn silico pharmacology · 2024
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  13. Inhibition of the SARS-CoV-2 3CLFood chemistry · 2022
    Article
  14. Article
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  16. Evaluation of the Whole Proteome ofFrontiers in medicine · 2021
    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

16 authors at 8 institutions in 2 countries.

Abbas KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Shaheena UmbreenDepartment of Botany, University of Okara, Okara, Punjab, Pakistan.
Asma HameedDepartment of Botany, University of Azad Jammu & Kashmir, Muzaffarabad, Azad Jammu & Kashmir, Pakistan.
Rida FatimaDepartment of Chemistry, Bahauddin Zakariya University, Multan, Pakistan.
Ujala ZahoorDepartment of Botany, Women University, Bagh, Azad Jammu & Kashmir, Pakistan.
Zainib BabarCenter for Viticulture and Enology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Muhammad WaseemFaculty of Rehabilitation and Allied Health Science, Riphah International University, Islamabad, Pakistan.
Zahid HussainCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Muhammad RizwanCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Nasib ZamanCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Shahid AliCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Muhammad SulemanCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Abdullah ShahDepartment of Biotechnology, Shaheed Benazir Bhutto University, Sheringal, Dir, Khyber Pakhtunkhwa, Pakistan.
Liaqat AliDepartment of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan.
Syed Shujait AliCenter for Biotechnology and Microbiology, University of Swat, Swat, Khyber Pakhtunkhwa, Pakistan.
Dong-Qing WeiDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China. dqwei@sjtu.edu.cn.
University of Swat · PKShanghai Jiao Tong University · CNUniversity of Azad Jammu and Kashmir · PKBahauddin Zakariya University · PKNational University of Medical Sciences · PKRiphah International University · PKShaheed Benazir Bhutto University · PKUniversity of Okara · PK

Funding

National Natural Science Foundation of China(CN) 61832019
6 · The paper itself

Abstract

The prolific spread of COVID-19 caused by a novel coronavirus (SARS-CoV-2) from its epicenter in Wuhan, China, to every nook and cranny of the world after December 2019, jeopardize the prevailing health system in the world and has raised serious concerns about human safety. Multi-directional efforts are made to design small molecule inhibitors, and vaccines and many other therapeutic options are practiced, but their final therapeutic potential is still to be tested. Using the old drug or vaccine or peptides could aid this process to avoid such long experimental procedures. Hence, here, we have repurposed a small peptide (ATLQAIAS) from the previous study, which reported the inhibitory effects of this peptide. We used in silico mutagenesis approach to design more peptides from the native wild peptide, which revealed that substitutions (T2W, T2Y, L3R, and A5W) could increase the binding affinity of the peptide towards the 3CLpro. Furthermore, using MD simulation and free energy calculation confirmed its dynamics stability and stronger binding affinities. Per-residue energy decomposition analysis revealed that the specified substitution significantly increased the binding affinity at the residue level. Our wide-ranging analyses of binding affinities disclosed that our designed peptide owns the potential to hinder the SARS-CoV-2 and will reduce the progression of SARS-CoV-2-borne pneumonia. Our research strongly suggests the experimental and clinical validation of these peptides to curtail the recent corona outbreak.

Indexed as

Computer SimulationMolecular Dynamics SimulationMutagenesisSevere acute respiratory syndrome-related coronavirusAntiviral AgentsCoronavirus 3C ProteasesCOVID-19COVID-19 Drug TreatmentHumansMolecular Docking SimulationPeptidesProtease InhibitorsSARS-CoV-2ThermodynamicsAntiviral AgentsCoronavirus 3C ProteasesPeptidesProtease InhibitorsDockingFree energyIn silico mutagenesisPCAPeptideSimulation

Identifiers

PMID34324157
PMCPMC8319699
OpenAlexW3118860244

What OpenQuestion 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 OpenQuestion graph.