Evidence map›Paper›PMID 33649734›Full record

ArticleInformatics in medicine unlocked2021

Repurposing FDA-approved drugs to fight COVID-19 using

Soodeh Mahdian, Mahboobeh Zarrabi, Yunes Panahi, Somayyeh Dabbagh

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  19. A contemporary review on the important role ofInformatics in medicine unlocked · 2022
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Soodeh MahdianDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran.
Mahboobeh ZarrabiDepartment of Biotechnology, Biological Faculty, Alzahra University, Tehran, Iran.
Yunes PanahiPharmacotherapy Department, Faculty of Pharmacy, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Somayyeh DabbaghDepartment of Biotechnology, Biological Faculty, Alzahra University, Tehran, Iran.
Alzahra University · IRBaqiyatallah University of Medical Sciences · IRIslamic Azad University North Tehran Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent approaches have been proved effective for combating the COVID-19 pandemic. Accordingly,

methodsThe study screened the FDA-approved drugs against ACE2, CD147, and RDRP by virtual screening and molecular dynamics (MD) simulation.

resultsThe results of this study indicated that five drugs with ACE2, four drugs with RDRP, and seven drugs with CD147 achieved the most favorable free binding energy (ΔG < -10). This study selected these drugs for MD simulation investigation whose results demonstrated that ledipasvir with ACE2, estradiol benzoate with CD147, and vancomycin with RDRP represented the most favorable ΔG. Also, paritaprevir and vancomycin have good binding energy with both targets (ACE2 and RdRp).

conclusionsLedipasvir, estradiol benzoate, and vancomycin and paritaprevir are potentially suitable candidates for further investigation as possible treatments of COVID-19 and novel drug development.

Indexed as

ACE2CD147COVID-19Drug repurposingRdRp

Identifiers

PMID33649734
PMCPMC7904474
OpenAlexW3132154046

What OpenQuestion holds

Textmetadata
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.