Evidence map›Paper›PMID 34403938›Full record

ArticleComputers in biology and medicine2021

Computational screening of 645 antiviral peptides against the receptor-binding domain of the spike protein in SARS-CoV-2.

Md Minhas Hossain Sakib, Aktiya Anjum Nishat, Mohammad Tarequl Islam, Mohammad Abu Raihan Uddin, Md Shahriar Iqbal, Farhan Fuad Bin Hossen, Mohammad Imran Ahmed, Md Samiul Bashir, Takbir Hossain, Umma Sumia Tohura and 10 more

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.6field-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

27 citing papers in PubMed, 45 citations in OpenAlex.

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  11. Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern.International journal of environmental research and public health · 2023
    Article
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  15. Article
  16. Article
  17. Association between Global Monkeypox Cases and Meteorological Factors.International journal of environmental research and public health · 2022
    Article
  18. Article
  19. Article
  20. Review
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

20 authors at 4 institutions in 3 countries.

Md Minhas Hossain SakibDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Aktiya Anjum NishatDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Mohammad Tarequl IslamDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Mohammad Abu Raihan UddinDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Md Shahriar IqbalDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Farhan Fuad Bin HossenDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Mohammad Imran AhmedDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Md Samiul BashirDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Takbir HossainDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Umma Sumia TohuraDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Saiful Islam SaifDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Nabilah Rahman JuiDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Mosharaf AlamDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Md Aminul IslamDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Md Mehadi HasanDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Md Abu SufianSchool of Pharmacy, Temple University, Philadelphia, PA, 19140, USA.
Md Ackas AliDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Rajib IslamDivision of Infectious Diseases and Division of Computer-Aided Drug Design, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Mohammed Akhter HossainFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria 3010, Australia.
Mohammad A HalimDepartment of Physical Sciences, University of Arkansas-Fort Smith, Fort Smith, Arkansas 72913, USA. Electronic address: mhalim1@kennesaw.edu.
Green University of Bangladesh · BDTemple University · USThe University of Melbourne · AUUniversity of Arkansas – Fort Smith · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The receptor-binding domain (RBD) of SARS-CoV-2 spike (S) protein plays a vital role in binding and internalization through the alpha-helix (AH) of human angiotensin-converting enzyme 2 (hACE2). Thus, it is a potential target for designing and developing antiviral agents. Inhibition of RBD activity of the S protein may be achieved by blocking RBD interaction with hACE2. In this context, inhibitors with large contact surface area are preferable as they can form a potentially stable complex with RBD of S protein and would not allow RBD to come in contact with hACE2. Peptides represent excellent features as potential anti-RBD agents due to better efficacy, safety, and tolerability in humans compared to that of small molecules. The present study has selected 645 antiviral peptides known to inhibit various viruses and computationally screened them against the RBD of SARS-CoV-2 S protein. In primary screening, 27 out of 645 peptides exhibited higher affinity for the RBD of S protein compared to that of AH of the hACE2 receptor. Subsequently, AVP1795 appeared as the most promising candidate that could inhibit hACE2 recognition by SARS-CoV 2 as was predicted by the molecular dynamics simulation. The critical residues in RBD found for protein-peptide interactions are TYR 489, GLY 485, TYR 505, and GLU 484. Peptide-protein interactions were substantially influenced by hydrogen bonding and hydrophobic interactions. This comprehensive computational screening may provide a guideline to design the most effective peptides targeting the spike protein, which could be studied further in vitro and in vivo for assessing their anti-SARS CoV-2 activity.

Indexed as

COVID-19Spike Glycoprotein, CoronavirusAntiviral AgentsHumansPeptidesProtein BindingSARS-CoV-2Antiviral AgentsPeptidesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Angiotensin converting enzyme 2Antiviral peptideMolecular dynamics simulationReceptor-binding domainSARS-CoV-2

Identifiers

PMID34403938
PMCPMC8352665
OpenAlexW3190190714

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.