Evidence map›Paper›PMID 33737545›Full record

ArticleScientific reports2021

Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection.

Letícia C Assis, Alexandre A de Castro, João P A de Jesus, Eugenie Nepovimova, Kamil Kuca, Teodorico C Ramalho, Felipe A La Porta

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Pharmaceuticals (Basel, Switzerland) · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors.

Letícia C AssisDepartment of Chemistry, Federal University of Lavras, Lavras, Minas Gerais, CEP 37200-000, Brazil.
Alexandre A de CastroDepartment of Chemistry, Federal University of Lavras, Lavras, Minas Gerais, CEP 37200-000, Brazil.
João P A de JesusLaboratório de Nanotecnologia E Química Computacional, Universidade Tecnológica Federal Do Paraná, Londrina, PR, 86036-370, Brazil.
Eugenie NepovimovaDepartment of Chemistry, Faculty of Science, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Králové, Czech Republic.
Kamil KucaDepartment of Chemistry, Faculty of Science, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Králové, Czech Republic. kamil.kuca@uhk.cz.
Teodorico C RamalhoDepartment of Chemistry, Federal University of Lavras, Lavras, Minas Gerais, CEP 37200-000, Brazil.
Felipe A La PortaLaboratório de Nanotecnologia E Química Computacional, Universidade Tecnológica Federal Do Paraná, Londrina, PR, 86036-370, Brazil. felipe_laporta@yahoo.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new and more aggressive strain of coronavirus, known as SARS-CoV-2, which is highly contagious, has rapidly spread across the planet within a short period of time. Due to its high transmission rate and the significant time-space between infection and manifestation of symptoms, the WHO recently declared this a pandemic. Because of the exponentially growing number of new cases of both infections and deaths, development of new therapeutic options to help fight this pandemic is urgently needed. The target molecules of this study were the nitro derivatives of quinoline and quinoline N-oxide. Computational design at the DFT level, docking studies, and molecular dynamics methods as a well-reasoned strategy will aid in elucidating the fundamental physicochemical properties and molecular functions of a diversity of compounds, directly accelerating the process of discovering new drugs. In this study, we discovered isomers based on the nitro derivatives of quinoline and quinoline N-oxide, which are biologically active compounds and may be low-cost alternatives for the treatment of infections induced by SARS-CoV-2.

Indexed as

Computer SimulationCOVID-19 Drug TreatmentDensity Functional TheoryDrug Evaluation, PreclinicalMolecular Docking SimulationMolecular Dynamics SimulationQuinolinesSARS-CoV-2quinolineQuinolines

Identifiers

PMID33737545
PMCPMC7973710

What OpenQuestion holds

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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.