A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

[General expert consensus on application of network pharmacology in research and development of new traditional Chinese medicine drugs]. | LitMetric

[General expert consensus on application of network pharmacology in research and development of new traditional Chinese medicine drugs].

Zhongguo Zhong Yao Za Zhi

State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Lianyungang 222047, China.

Published: September 2024

The research and development of new traditional Chinese medicine drugs has gradually formed a new system based on the combination of traditional Chinese medicine theory, human experience, and clinical trials(referred to as the "three combinations"). However, given the characteristics of traditional Chinese medicine's "syndrome differentiation and treatment" and "diverse components and complex mechanisms", there are still problems in the current research and development of new traditional Chinese medicine drugs, such as insufficient research on the material basis and overall mechanism of action, and incomplete evidence chain system. At the same time, there are still many challenges in collecting human experience, evaluating clinical efficacy, and controlling the quality of active ingredients, which restrict the innovation process of research and development of new traditional Chinese medicine drugs. Network pharmacology, based on the core theory of "network targets", breaks through the limitations of the traditional "single target" reduction analysis research model, emphasizing the comprehensive effects of disease or syndrome biological networks as targets to characterize the overall regulatory mechanism of traditional Chinese medicine prescriptions. This is in line with the idea of the holistic view of traditional Chinese medicine, providing a new method consistent with the holistic view of traditional Chinese medicine for studying the complex mechanism of action of traditional Chinese medicine and the development of new traditional Chinese medicine drugs. It is internationally recognized as a "next generation of drug research model". In order to promote the research of new tools, methods, and standards for the evaluation of traditional Chinese medicine, and to break through the fundamental, critical, and cutting-edge technical challenges in the field of traditional Chinese medicine regulation, this consensus aims to explore the characteristics, progress, challenges, applicable paths, and specific application situations of network pharmacology as a new theory, method, and tool applied to the research and development of new traditional Chinese medicine drugs, in order to improve the quality of research and development of new traditional Chinese medicine drugs and accelerate the efficiency of research and development of new traditional Chinese medicine products.

Download full-text PDF

Source
http://dx.doi.org/10.19540/j.cnki.cjcmm.20240818.701DOI Listing

Publication Analysis

Top Keywords

traditional chinese
64
chinese medicine
60
development traditional
32
medicine drugs
24
traditional
17
chinese
16
medicine
15
network pharmacology
12
development
8
human experience
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!