Evidence map›Paper›PMID 36403355›Full record

ArticleComputers in biology and medicine2022

Dissecting the molecular mechanism of cepharanthine against COVID-19, based on a network pharmacology strategy combined with RNA-sequencing analysis, molecular docking, and molecular dynamics simulation.

Jiaqin Liu, Taoli Sun, Sa Liu, Jian Liu, Senbiao Fang, Shengyu Tan, Yucheng Zeng, Bikui Zhang, Wenqun Li

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 36 citations in OpenAlex.

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  17. A cost-effective enzyme kinetics and inhibition model for biochemistry education and research.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology
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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

9 authors at 3 institutions in 1 country.

Jiaqin LiuDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, Hunan, 410011, China.
Taoli SunSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China.
Sa LiuDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, Hunan, 410011, China.
Jian LiuDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, Hunan, 410011, China.
Senbiao FangHunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Shengyu TanDepartment of Gerontology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Yucheng ZengSchool of Pharmaceutical Science, Hunan University of Medicine, Huaihua, Hunan, 418000, China.
Bikui ZhangDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, Hunan, 410011, China. Electronic address: 505595@csu.edu.cn.
Wenqun LiDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China; Institute of Clinical Pharmacy, Central South University, Changsha, Hunan, 410011, China. Electronic address: liwq1204@csu.edu.cn.
Central South University · CNHuaihua University · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRecently, it has been reported that cepharanthine (CEP) is highly likely to be an agent against Coronavirus disease 2019 (COVID-19). In the present study, a network pharmacology-based approach combined with RNA-sequencing (RNA-seq), molecular docking, and molecular dynamics (MD) simulation was performed to determine hub targets and potential pharmacological mechanism of CEP against COVID-19.

methodsTargets of CEP were retrieved from public databases. COVID-19-related targets were acquired from databases and RNA-seq datasets GSE157103 and GSE155249. The potential targets of CEP and COVID-19 were then validated by GSE158050. Hub targets and signaling pathways were acquired through bioinformatics analysis, including protein-protein interaction (PPI) network analysis and enrichment analysis. Subsequently, molecular docking was carried out to predict the combination of CEP with hub targets. Lastly, MD simulation was conducted to further verify the findings.

resultsA total of 700 proteins were identified as CEP-COVID-19-related targets. After the validation by GSE158050, 97 validated targets were retained. Enrichment results indicated that CEP acts on COVID-19 through multiple pathways, multiple targets, and overall cooperation. Specifically, PI3K-Akt signaling pathway is the most important pathway. Based on PPI network analysis, 9 central hub genes were obtained (ACE2, STAT1, SRC, PIK3R1, HIF1A, ESR1, ERBB2, CDC42, and BCL2L1). Molecular docking suggested that the combination between CEP and 9 central hub genes is extremely strong. Noteworthy, ACE2, considered the most important gene in CEP against COVID-19, binds to CEP most stably, which was further validated by MD simulation.

conclusionOur study comprehensively illustrated the potential targets and underlying molecular mechanism of CEP against COVID-19, which further provided the theoretical basis for exploring the potential protective mechanism of CEP against COVID-19.

Indexed as

COVID-19 Drug TreatmentMolecular Dynamics SimulationAngiotensin-Converting Enzyme 2BenzodioxolesBenzylisoquinolinesHumansMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesRNAAngiotensin-Converting Enzyme 2BenzodioxolesBenzylisoquinolinescepharanthinePhosphatidylinositol 3-KinasesRNAACE2CepharanthineCOVID-19Molecular dockingNetwork pharmacologyPI3K-Akt signal pathwayRNA-Sequencing

Identifiers

PMID36403355
PMCPMC9671524
OpenAlexW4309508903

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.