Evidence map›Paper›PMID 32802981›Full record

ArticleHeliyon2020

Searching potential antiviral candidates for the treatment of the 2019 novel coronavirus based on DFT calculations and molecular docking.

Abir Sagaama, Silvia Antonia Brandan, Takoua Ben Issa, Noureddine Issaoui

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
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  3. Nutritional Assessment ofJournal of fungi (Basel, Switzerland) · 2023
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  6. Review
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  14. Future virology · 2021
    Article
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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

4 authors at 2 institutions in 2 countries.

Abir SagaamaUniversity of Monastir, Laboratory of Quantum and Statistical Physics (LR18ES18), Faculty of Sciences, Monastir 5079, Tunisia.
Silvia Antonia BrandanCátedra de Química General, Instituto de Química Inorgánica, Facultad de Bioquímica, Química y Farmacia, Universidad Nacional de Tucumán, Ayacucho 471, 4000, San Miguel de Tucumán, Tucumán, Argentina.
Takoua Ben IssaUniversity of Monastir, Laboratory of Quantum and Statistical Physics (LR18ES18), Faculty of Sciences, Monastir 5079, Tunisia.
Noureddine IssaouiUniversity of Monastir, Laboratory of Quantum and Statistical Physics (LR18ES18), Faculty of Sciences, Monastir 5079, Tunisia.
University of Monastir · TNNational University of Tucumán · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present work, the succinic acid (SA), L-pyroglutamic acid (L-PGA), N-phenyl-thioacetamide (N-NPTA), 2-amino-5-chloropyridine hydrogen succinate (ACPS), epigallocatechine Gallate (EGCG) or KDH and, selenomethionine (SeM) compounds have been proposed as potential antiviral candidates to treatment of COVID-19 based on B3LYP/6-311++G∗∗ calculations and molecular docking. Solvation energies, stabilization energies, topological properties have been evaluated as function of acceptors and donors groups present in their structures. ACPS presents the higher reactivity in solution possibly because has the higher nucleophilicity and elecrophilicity indexes while KDH evidence the higher solvation energy probably due to the higher quantity of donors and acceptors groups. NBO studies show that KDH is the most stable in solution. Mapped MEP surfaces have evidenced stronger nucleophilic and electrophilic sites in ACPS, in agreement with the three C=O and two N-H and O-H groups present in this species while KDH has only a C=O group but a total of 19 acceptors and donors groups. From the above studies for six species we can propose that the better potential antiviral candidate to treatment of COVID-19 is ACPS and then, KDH. For a better prediction of the antiviral and anti-inflammatory properties of the proposed compounds, molecular docking calculations were performed by using four structures of COVID-19. Docking results were discussed basing on binding affinities and the interaction types among ligands and different amino acid residues, indicating the powerful ability of KDH and then ACPS ligands on front of the novel coronavirus disease especially for the first and the fourth species (6LU7, 7BTF).

Indexed as

ACPSCOVID-19 treatmentKDHMolecular docking simulationPharmaceutical chemistryQuantum chemical calculationTheoretical chemistry

Identifiers

PMID32802981
PMCPMC7409764
OpenAlexW3047118304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.