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

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收录情况: ◇ SCIE ◇ 统计源期刊 ◇ CSCD-C ◇ 卓越:梯队期刊

机构: [1]Kunming Univ Sci & Technol, Fac Life Sci & Technol, Kunming 650500, Peoples R China [2]First Peoples Hosp Yunnan Prov, Kunming 650032, Peoples R China
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关键词: Chinese medicine target identification network pharmacology Bayesian inference modeling

摘要:
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.

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出版当年[2023]版:
大类 | 3 区 医学
小类 | 4 区 全科医学与补充医学
最新[2023]版:
大类 | 3 区 医学
小类 | 4 区 全科医学与补充医学
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出版当年[2022]版:
Q2 INTEGRATIVE & COMPLEMENTARY MEDICINE
最新[2023]版:
Q2 INTEGRATIVE & COMPLEMENTARY MEDICINE

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]Kunming Univ Sci & Technol, Fac Life Sci & Technol, Kunming 650500, Peoples R China
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通讯机构: [1]Kunming Univ Sci & Technol, Fac Life Sci & Technol, Kunming 650500, Peoples R China
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