Evidence map›Paper›PMID 36699952›Full record

ArticleAdvances and applications in bioinformatics and chemistry : AABC2023

In silico Screening of Potential SARS-CoV-2 Main Protease Inhibitors from

Hylemariam Mihiretie Mengist, Zunera Khalid, Fentahun Adane

Abstract read
In one paragraph

Article in Advances and applications in bioinformatics and chemistry : AABC, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

3 authors.

Hylemariam Mihiretie Mengist *Department of Medical Laboratory Science, College of Medical and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.ORCID 0000-0002-8467-6985
Zunera Khalid *School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science & Technology of China, Langfang, People's Republic of China.
Fentahun AdaneDepartment of Biomedical Sciences, College of Medical and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.ORCID 0000-0001-6490-0743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 is still instigating significant social and economic chaos worldwide; however, there is no approved antiviral drug yet. Here, we used in silico analysis to screen potential SARS-CoV-2 main protease (M Methods: The absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles of compounds were determined through SwissADME and ProToxII servers. AutoDock tools were used for molecular docking analysis studies, while Chimera, DS studio, and LigPlot were used for post-docking studies. Molecular dynamic simulations were performed for 200 ns under constant pressure. Results: All compounds exhibited a bioavailability score of ≥0.55 entailing that at least 55% of the drugs can be absorbed unchanged. Only five (9%), nine (16%) and two (3.6%) of the compounds showed active hepatotoxicity, carcinogenicity, and immunotoxicity, respectively. Except for flourazophore P, which showed a little mutagenicity, all other compounds did not show mutagenic properties. On the other hand, only pinene beta was found to have a little cytotoxicity. Five compounds demonstrated effective binding to the catalytic dyad of the SARS-CoV-2 M Conclusion: Based on our in silico analysis, top hits from

Indexed as

inhibitorsmain proteaseSARS-CoV-2structural analysisThymus schimperi

Identifiers

PMID36699952
PMCPMC9868284

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.