Evidence map›Paper›PMID 37358709›Full record

ArticleJournal of microbiology (Seoul, Korea)2023

Antiviral Activity Against SARS-CoV-2 Variants Using in Silico and in Vitro Approaches.

Hee-Jung Lee, Hanul Choi, Aleksandra Nowakowska, Lin-Woo Kang, Minjee Kim, Young Bong Kim

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 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
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Hee-Jung LeeDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea.
Hanul ChoiDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea.
Aleksandra NowakowskaDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea.
Lin-Woo KangDepartment of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea.
Minjee KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea. mj0411@konkuk.ac.kr.
Young Bong KimDepartment of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea. kimera@konkuk.ac.kr.ORCID http://orcid.org/0000-0003-1681-5557
Konkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emergence in 2019 led to global health crises and the persistent risk of viral mutations. To combat SARS-CoV-2 variants, researchers have explored new approaches to identifying potential targets for coronaviruses. This study aimed to identify SARS-CoV-2 inhibitors using drug repurposing. In silico studies and network pharmacology were conducted to validate targets and coronavirus-associated diseases to select potential candidates, and in vitro assays were performed to evaluate the antiviral effects of the candidate drugs to elucidate the mechanisms of the viruses at the molecular level and determine the effective antiviral drugs for them. Plaque and cytopathic effect reduction were evaluated, and real-time quantitative reverse transcription was used to evaluate the antiviral activity of the candidate drugs against SARS-CoV-2 variants in vitro. Finally, a comparison was made between the molecular docking binding affinities of fenofibrate and remdesivir (positive control) to conventional and identified targets validated from protein-protein interaction (PPI). Seven candidate drugs were obtained based on the biological targets of the coronavirus, and potential targets were identified by constructing complex disease targets and PPI networks. Among the candidates, fenofibrate exhibited the strongest inhibition effect 1 h after Vero E6 cell infection with SARS-CoV-2 variants. This study identified potential targets for coronavirus disease (COVID-19) and SARS-CoV-2 and suggested fenofibrate as a potential therapy for COVID-19.

Indexed as

COVID-19FenofibrateAntiviral AgentsHumansMolecular Docking SimulationSARS-CoV-2Antiviral AgentsFenofibrateDrug repurposingFenofibrateIn silicoIn vitro assaySARS-CoV-2

Identifiers

PMID37358709
OpenAlexW4382011740

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.