Evidence map›Paper›PMID 34306990›Full record

ArticleComputational & theoretical chemistry2021

Preliminary investigation of drug impurities associated with the anti-influenza drug Favipiravir - An insilico approach.

S Anil Kumar, B L Bhaskar

Abstract read
In one paragraph

Article in Computational & theoretical chemistry, 2021. 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
–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

2 citing papers in PubMed.

  1. 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

2 authors.

S Anil KumarDepartment of Chemistry, Amrita School of Engineering, Bengaluru Amrita Vishwa Vidyapeetham, India.
B L BhaskarDepartment of Chemistry, Amrita School of Engineering, Bengaluru Amrita Vishwa Vidyapeetham, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of repurposed or modified antiviral drugs has become more significant during the current global pandemic of SARS Covid-19. In the present study, four structurally analogous impurity molecules of antiviral drug Favipiravir are selected for preliminary computational investigation for assessing the structure-activity relationship. The optimized geometry and the electronic structures of the compounds are computed using Density Functional Theory as a precursor to evaluating their physical, chemical and spectral properties. The frontier orbitals analysis is performed to obtain global reactivity parameters namely, the chemical potential, absolute electronegativity, global softness, global hardness, electrophilicity, etc. The natural Bond Orbital (NBO) analysis and Mulliken analysis provided an understanding of the charge-transfer interactions of molecules. The possibilities of intermolecular interactions of the drug systems with the receptors are also visualized using the electrostatic potential maps (MEP) derived from the DFT computations. The physiochemical properties are assessed computationally using SwissADME webtool to correlate the structural aspects of the compounds with their biological responses. Useful parameters namely flexibility, lipophilicity, size, polarity, solubility and saturation were also computed to evaluate the therapeutic activity or drug-likeness.

Identifiers

PMID34306990
PMCPMC8285362

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.