Evidence map›Paper›PMID 35114443›Full record

ArticleComputers in biology and medicine2022

Systems pharmacology-based drug discovery and active mechanism of natural products for coronavirus pneumonia (COVID-19): An example using flavonoids.

Bin Wang, Yan Ding, Penghui Zhao, Wei Li, Ming Li, Jingbo Zhu, Shuhong Ye

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

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  6. Endophytic Fungi Isolated fromPlants (Basel, Switzerland) · 2023
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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

7 authors at 3 institutions in 2 countries.

Bin WangSchool of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning, 116034, China.
Yan DingSchool of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning, 116034, China. Electronic address: dingyan_515@hotmail.com.
Penghui ZhaoSchool of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning, 116034, China.
Wei LiKorean Medicine (KM) Application Center, Korea Institute of Oriental Medicine, Daegu, 41062, South Korea.
Ming LiCollege of Basic Medical Science, Dalian Medical University, Dalian, Liaoning, 116044, China.
Jingbo ZhuSchool of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning, 116034, China; Institute of Chemistry and Applications of Plant Resources, Dalian Polytechnic University, Dalian, Liaoning, 116034, China.
Shuhong YeSchool of Food Science and Technology, Dalian Polytechnic University, Dalian, Liaoning, 116034, China. Electronic address: hlcyeshuhong@hotmail.com.
Dalian Polytechnic University · CNDalian Medical University · CNKorea Institute of Oriental Medicine · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, the value of natural products has been extensively considered because these resources can potentially be applied to prevent and treat coronavirus pneumonia 2019 (COVID-19). However, the discovery of nature drugs is problematic because of their complex composition and active mechanisms.

methodsThis comprehensive study was performed on flavonoids, which are compounds with anti-inflammatory and antiviral effects, to show drug discovery and active mechanism from natural products in the treatment of COVID-19 via a systems pharmacological model. First, a chemical library of 255 potential flavonoids was constructed. Second, the pharmacodynamic basis and mechanism of action between flavonoids and COVID-19 were explored by constructing a compound-target and target-disease network, targets protein-protein interaction (PPI), MCODE analysis, gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment.

resultsIn total, 105 active flavonoid components were identified, of which 6 were major candidate compounds (quercetin, epigallocatechin-3-gallate (EGCG), luteolin, fisetin, wogonin, and licochalcone A). 152 associated targets were yielded based on network construction, and 7 family proteins (PTGS, GSK3β, ABC, NOS, EGFR, and IL) were included as central hub targets. Moreover, 528 GO items and 178 KEGG pathways were selected through enrichment of target functions. Lastly, molecular docking demonstrated good stability of the combination of selected flavonoids with 3CL Pro and ACEⅡ.

conclusionNatural flavonoids could enable resistance against COVID-19 by regulating inflammatory, antiviral, and immune responses, and repairing tissue injury. This study has scientific significance for the selective utilization of natural products, medicinal value enhancement of flavonoids, and drug screening for the treatment of COVID-19 induced by SARS-COV-2.

Indexed as

COVID-19FlavonoidsMolecular dockingNatural productsSystems pharmacology

Identifiers

PMID35114443
PMCPMC8789666
OpenAlexW4210777408

What OpenQuestion holds

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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.