Evidence map›Paper›PMID 36809500›Full record

ReviewChinese journal of integrative medicine2023

Challenges and Perspectives in Target Identification and Mechanism Illustration for Chinese Medicine.

Xiao-Xi Guo, Su An, Fan Bao, Tian-Rui Xu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Chinese journal of integrative medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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  10. 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

4 authors.

Xiao-Xi GuoFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
Su AnFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
Fan BaoFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
Tian-Rui XuFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China. tianruixu@kust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese medicine (CM) is an important resource for human life understanding and discovery of drugs. However, due to the unclear pharmacological mechanism caused by unclear target, research and international promotion of many active components have made little progress in the past decades of years. CM is mainly composed of multi-ingredients with multi-targets. The identification of targets of multiple active components and the weight analysis of multiple targets in a specific pathological environment, that is, the determination of the most important target is the main obstacle to the mechanism clarification and thus hinders its internationalization. In this review, the main approach to target identification and network pharmacology were summarized. And BIBm (Bayesian inference modeling), a powerful method for drug target identification and key pathway determination was introduced. We aim to provide a new scientific basis and ideas for the development and international promotion of new drugs based on CM.

Indexed as

Drugs, Chinese HerbalMedicine, Chinese TraditionalBayes TheoremHumansMolecular Docking SimulationDrugs, Chinese HerbalBayesian inference modelingChinese medicinenetwork pharmacologytarget identification

Identifiers

What OpenQuestion holds

Textmetadata
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.