Evidence map›Paper›PMID 33785968›Full record

ArticleInternational journal of quantum chemistry2021

Distance based and bond additive topological indices of certain repurposed antiviral drug compounds tested for treating COVID-19.

Jia-Bao Liu, Micheal Arockiaraj, M Arulperumjothi, Savari Prabhu

Abstract read
In one paragraph

Article in International journal of quantum chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

12 citing papers in PubMed.

  1. Article
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  9. Entropy Related toMolecules (Basel, Switzerland) · 2023
    Article
  10. Mathematical analysis and topology of SARS-CoV-2, bonding with cells and unbonding.Journal of mathematical analysis and applications · 2022
    Article
  11. Article
  12. 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

4 authors.

Jia-Bao LiuSchool of Mathematics and Physics Anhui Jianzhu University Hefei China.ORCID https://orcid.org/0000-0002-9620-7692
Micheal ArockiarajDepartment of Mathematics Loyola College Chennai Tamil Nadu India.ORCID https://orcid.org/0000-0002-4457-1046
M ArulperumjothiDepartment of Mathematics, Loyola College University of Madras Chennai Tamil Nadu India.ORCID https://orcid.org/0000-0001-8557-1643
Savari PrabhuDepartment of Mathematics Sri Venkateswara College of Engineering Sriperumbudur Tamil Nadu India.ORCID https://orcid.org/0000-0002-1922-910X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The entire world is struggling to control the spread of coronavirus (COVID-19) as there are no proper drugs for treating the disease. Under clinical trials, some of the repurposed antiviral drugs have been applied to COVID-19 patients and reported the efficacy of the drugs with the diverse inferences. Molecular topology has been developed in recent years as an influential approach for drug design and discovery in which molecules that are structurally related show similar pharmacological properties. It permits a purely mathematical description of the molecular structure so that in the development of identification of new drugs can be found through adequate topological indices. In this paper, we study the structural properties of the several antiviral drugs such as chloroquine, hydroxychloroquine, lopinavir, ritonavir, remdesivir, theaflavin, nafamostat, camostat, umifenovir and bevacizumab by considering the distance and bond measures of chemical compounds. Our quantitative values of the topological indices are extremely useful in the recent development of designing new drugs for COVID-19.

Indexed as

bond additive measuresCOVID‐19drugsmolecular descriptorsWiener indices

Identifiers

PMID33785968
PMCPMC7995035

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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.