Evidence map›Paper›PMID 39285019›Full record

ArticleAMB Express2024

Establishment of in-house assay for screening of anti-SARS-CoV-2 protein inhibitors.

Merna H Emam, Mohamed I Mahmoud, Nadia El-Guendy, Samah A Loutfy

Abstract read
In one paragraph

Article in AMB Express, 2024. 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. Pharmaceutics · 2025
    Review
  2. 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.

Merna H EmamNanotechnology Research Center (NTRC), the British University in Egypt, Suez Desert Road, El-Shorouk City, P.O. Box 43, Cairo, 11837, Egypt.
Mohamed I MahmoudNanotechnology Research Center (NTRC), the British University in Egypt, Suez Desert Road, El-Shorouk City, P.O. Box 43, Cairo, 11837, Egypt.
Nadia El-GuendyMedical biochemistry and Molecular biology unit, Cancer Biology Department, National Cancer Institute (NCI), Cairo University, Fom El-Khalig 11796, Cairo, Egypt.
Samah A LoutfyNanotechnology Research Center (NTRC), the British University in Egypt, Suez Desert Road, El-Shorouk City, P.O. Box 43, Cairo, 11837, Egypt. samah.loutfy@nci.cu.edu.eg.ORCID http://orcid.org/0000-0003-1959-434X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing a potent antiviral agent to combat Coronavirus Disease-19 (COVID-19) is of critical importance as we may be at risk of the emergence of new virus strains or another pandemic recurrence. The interaction between the SARS-CoV-2 spike protein and Angiotensin Converting Enzyme 2 (ACE2) is the main protein-protein interaction (PPI) implicated in the virus entry into the host cells. Spike-ACE2 PPI represents a major target for drug intervention. We have repurposed a previously described protein-protein interaction detection method to be utilized as a drug screening assay. The assay was standardized using Chitosan nanoparticles (CNPs) as the drug and SARS-CoV-2 spike-ACE2 interaction as the PPI model. The assay was then used to screen four natural bioactive compounds: Curcumin (Cur), Gallic acid (GA), Quercetin (Q), and Silymarin (Sil), and their cytotoxicity was evaluated in vitro. Production of the spike protein and the evaluation of its activity in comparison to a standard commercial protein was part of our work as well. Here we describe a novel simple immunofluorescent screening assay to identify potential SARS-CoV-2 inhibitors that could assess the inhibitory effect of any ligand against any PPI.

Indexed as

ACE2Immunofluorescent immunoassayNatural compoundsProtein-protein interactionSARS-CoV-2Spike

Identifiers

PMID39285019
PMCPMC11405717

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.