Evidence map›Paper›PMID 36144838›Full record

ArticleMolecules (Basel, Switzerland)2022

Comprehensive Bioinformatics Analysis Combined with Wet-Lab Experiments to Find Target Proteins of Chinese Medicine Monomer.

Xiaohui Xu, Yunyi Zhu, Changling Yue, Qianwen Yang, Zhaohuan Zhang

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Xiaohui XuSchool of Preclinical Medicine, Wannan Medical College, Wuhu 241002, China.
Yunyi ZhuSchool of Life Sciences, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-0365-8946
Changling YueSchool of Life Sciences, Shanghai University, Shanghai 200444, China.
Qianwen YangSchool of Life Sciences, Shanghai University, Shanghai 200444, China.
Zhaohuan ZhangDepartment of Laboratory Medicine, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.
Shanghai University · CNShanghai Changzheng Hospital · CNWannan Medical College · CN

Funding

National Natural Science Foundation of China 81370031National Natural Science Foundation of China 81671263the Major projects of Education Department of Anhui Province, China KJ2021ZD0094
6 · The paper itself

Abstract

How to use bioinformatics methods to quickly and accurately locate the effective targets of traditional Chinese medicine monomer (TCM) is still an urgent problem needing to be solved. Here, we used high-throughput sequencing to identify the genes that were up-regulated after cells were treated with TCM monomers and used bioinformatics methods to analyze which transcription factors activated these genes. Then, the binding proteins of these transcription factors were analyzed and cross-analyzed with the docking proteins predicted by small molecule reverse docking software to quickly and accurately determine the monomer's targets. Followeding this method, we predicted that the TCM monomer Daphnoretin (DT) directly binds to JAK2 with a binding energy of -5.43 kcal/mol, and activates the JAK2/STAT3 signaling transduction pathway. Subsequent Western blotting and in vitro binding and kinase experiments further validated our bioinformatics predictions. Our method provides a new approach for quickly and accurately locating the effective targets of TCM monomers, and we also have discovered for the first time that TCM monomer DT is an agonist of JAK2.

Indexed as

Drugs, Chinese HerbalMedicine, Chinese TraditionalComputational BiologyMolecular Docking SimulationSignal TransductionTranscription FactorsDrugs, Chinese HerbalTranscription FactorsbioinformaticsChinese medicine monomerdaphnoretinJAK2 agonistJAK2/STAT3multiple sclerosisNSCsOPCsreverse dockingtranscription factors

Identifiers

PMID36144838
PMCPMC9504604
OpenAlexW4296359236

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.