Challenges and Perspectives in Target Identification and Mechanism Illustration for Chinese Medicine.
10.1007/s11655-023-3629-9
- Author:
Xiao-Xi GUO
1
;
Su AN
1
;
Fan BAO
1
;
Tian-Rui XU
2
Author Information
1. Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
2. Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China. tianruixu@kust.edu.cn.
- Publication Type:Review
- Keywords:
Bayesian inference modeling;
Chinese medicine;
network pharmacology;
target identification
- MeSH:
Humans;
Medicine, Chinese Traditional;
Drugs, Chinese Herbal/therapeutic use*;
Bayes Theorem;
Molecular Docking Simulation
- From:
Chinese journal of integrative medicine
2023;29(7):644-654
- CountryChina
- Language:English
-
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.
