Evidence map›Paper›PMID 31443210›Full record

ArticleMolecules (Basel, Switzerland)2019

Exploration in the Mechanism of Action of Licorice by Network Pharmacology.

Meimei Chen, Jingru Zhu, Jie Kang, Xinmei Lai, Yuxing Gao, Huijuan Gan, Fafu Yang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Biological Role and Related Natural Products of SIRT1 in Nonalcoholic Fatty Liver.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors.

Meimei ChenCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China. chenmeimei1984@163.com.
Jingru ZhuCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Jie KangCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Xinmei LaiCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Yuxing GaoCollege of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
Huijuan GanCollege of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China. 1998009@fjtcm.edu.cn.
Fafu YangCollege of Chemistry and Materials Science, Fujian Normal University, Fuzhou 350007, China. yangfafu@fjnu.edu.cn.

Funding

Fujian 2011 Chinese Medicine Health Management Collaboration Center of China JG2017001National Natural Science Foundation of China 81503497 and 81873237Natural Science Foundation of Fujian Province 2019J01347 and 2018J01889
6 · The paper itself

Abstract

Licorice is a popular sweetener and a thirst quencher in many food products particularly in Europe and the Middle East and also one of the oldest and most frequently used herbs in traditional Chinese medicine. As a wide application of food additive, it is necessary to clarify bioactive chemical ingredients and the mechanism of action of licorice. In this study, a network pharmacology approach that integrated drug-likeness evaluation, structural similarity analysis, target identification, network analysis, and KEGG pathway analysis was established to elucidate the potential molecular mechanism of licorice. First, we collected and evaluated structural information of 282 compounds in licorice and found 181 compounds that met oral drug rules. Then, structural similarity analysis with known ligands of targets in the ChEMBL database (similarity threshold = 0.8) was applied to the initial target identification, which found 63 compounds in licorice had 86 multi-targets. Further, molecular docking was performed to study their binding modes and interactions, which screened out 49 targets. Finally, 17 enriched KEGG pathways (

Indexed as

Drugs, Chinese HerbalFood AdditivesGlycyrrhizaMolecular StructurePlant ExtractsStructure-Activity RelationshipDrugs, Chinese HerbalFood AdditivesPlant Extractsfood additiveKEGG pathway analysislicoricenetwork analysistarget identification

Identifiers

PMID31443210
PMCPMC6720938

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.