Challenges and Perspectives in Target Identification and Mechanism Illustration for Chinese Medicine*
中国结合医学杂志(英文版)2023年29卷第7期 页码:644-654
Affiliations:
1.Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming ,(650500), China
2.The First People's Hospital of Yunnan Province, Kunming (650032), China
Author bio:
XU Tian-rui, E-mail: tianruixu@kust.edu.cn
Funds:
the National Nature Science Foundation of China(81960659;81760264;81960394);Applied Basic Research Key Project of Yunnan(202001AS070024);Yunnan Applied Basic Research Projects-Union foundation Management System(-294)
GUO Xiao-xi, AN Su, BAO Fan, et al. Challenges and Perspectives in Target Identification and Mechanism Illustration for Chinese Medicine*[J]. Chinese Journal of Integrative Medicine, 2023,29(7):644-654.
GUO Xiao-xi, AN Su, BAO Fan, et al. Challenges and Perspectives in Target Identification and Mechanism Illustration for Chinese Medicine*[J]. Chinese Journal of Integrative Medicine, 2023,29(7):644-654. DOI: 10.1007/s11655-023-3629-9.
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.
关键词
中药靶点鉴定网络药物学贝叶斯估计模型
Keywords
Chinese medicinetarget identificationnetwork pharmacologyBayesian inference modeling