Evidence map›Paper›PMID 30979098›Full record

ArticleMolecules (Basel, Switzerland)2019

In Silico Investigation of the Anti-Tumor Mechanisms of Epigallocatechin-3-Gallate.

Wang Wang, Xiuhong Xiong, Xue Li, Qinyang Zhang, Wentao Yang, Linfang Du

Open access · goldAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% 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, 34 citations in OpenAlex.

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  14. Anti-Hepatocellular Carcinoma Biomolecules: Molecular Targets Insights.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Current computational methods for predicting protein interactions of natural products.Computational and structural biotechnology journal · 2019
    Review
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.

Wang WangKey Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China. wangwang.jeff@foxmail.com.
Xiuhong XiongKey Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China. xiongxiuhong0119@foxmail.com.
Xue LiKey Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China. xueli.lai@foxmail.com.
Qinyang ZhangKey Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China. zhangqy_wzmsly@foxmail.com.
Wentao YangKey Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China. yangwentao_sh@foxmail.com.
Linfang DuKey Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610064, China. dulinfang@scu.edu.cn.
Sichuan University · CN

Funding

National Key Technology R&D program of China 2006BAF07B01National Key Technology R&D program of China 2009BAK61B04Science & Technology Foundation of Sichuan Province 2011JTD0026
6 · The paper itself

Abstract

The EGCG, an important component of polyphenol in green tea, is well known due to its numerous health benefits. We employed the reverse docking method for the identification of the putative targets of EGCG in the anti-tumor target protein database and these targets were further uploaded to public databases in order to understand the underlying pharmacological mechanisms and search for novel EGCG-associated targets. Similarly, the pharmacological linkage between tumor-related proteins and EGCG was manually constructed in order to provide greater insight into the molecular mechanisms through a systematic integration with applicable bioinformatics. The results indicated that the anti-tumor mechanisms of EGCG may involve 12 signaling transduction pathways and 33 vital target proteins. Moreover, we also discovered four novel putative target proteins of EGCG, including IKBKB, KRAS, WEE1 and NTRK1, which are significantly related to tumorigenesis. In conclusion, this work may provide a useful perspective that will improve our understanding of the pharmacological mechanism of EGCG and identify novel potential therapeutic targets.

Indexed as

Antineoplastic AgentsCatechinComputer SimulationHumansNeoplasmsProteinsSignal TransductionTeaAntineoplastic AgentsCatechinepigallocatechin gallateProteinsTeaanti-tumor mechanismEGCGMD simulationsreverse docking

Identifiers

PMID30979098
PMCPMC6480119
OpenAlexW2938119865

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.