Evidence map›Paper›PMID 37766313›Full record

ArticleViruses2023

Targeting SARS-CoV-2 Macrodomain-1 to Restore the Innate Immune Response Using In Silico Screening of Medicinal Compounds and Free Energy Calculation Approaches.

Anwar Mohammad, Eman Alshawaf, Hossein Arefanian, Sulaiman K Marafie, Abbas Khan, Dong-Qing Wei, Fahd Al-Mulla, Jehad Abubaker

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 2 countries.

Anwar MohammadDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0001-6318-8707
Eman AlshawafDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0003-1932-522X
Hossein ArefanianDepartment of Immunology and Microbiology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0001-6414-0916
Sulaiman K MarafieDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0002-6786-7296
Abbas KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
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
Fahd Al-MullaDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0001-5409-3829
Jehad AbubakerDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0003-0681-7305
Dasman Diabetes Institute · KWShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the different drug targets of SARS-CoV-2, a multi-domain protein known as NSP3 is a critical element of the translational and replication machinery. The macrodomain-I, in particular, has been reported to have an essential role in the viral attack on the innate immune response. In this study, we explore natural medicinal compounds and identify potential inhibitors to target the SARS-CoV-2-NSP3 macrodomain-I. Computational modeling and simulation tools were utilized to investigate the structural-dynamic properties using triplicates of 100 ns MD simulations. In addition, the MM/GBSA method was used to calculate the total binding free energy of each inhibitor bound to macrodomain-I. Two significant hits were identified: 3,5,7,4'-tetrahydroxyflavanone 3'-(4-hydroxybenzoic acid) and 2-hydroxy-3-O-beta-glucopyranosyl-benzoic acid. The structural-dynamic investigation of both compounds with macrodomain-I revealed stable dynamics and compact behavior. In addition, the total binding free energy for each complex demonstrated a robust binding affinity, of ΔG -61.98 ± 0.9 kcal/mol for Compound A, while for Compound B, the ΔG was -45.125 ± 2.8 kcal/mol, indicating the inhibitory potential of these compounds. In silico bioactivity and dissociation constant (K

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentImmunity, InnateSARS-CoV-2Viral Nonstructural ProteinsComputer SimulationCOVID-19Drug Evaluation, PreclinicalHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein DomainsThermodynamicsAntiviral AgentsViral Nonstructural Proteinscomputational biologymacrodomain-Imedicinal compoundsNSP3SARS-CoV-2

Identifiers

PMID37766313
PMCPMC10538035
OpenAlexW4386688130

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.