Yang Xiao-Nan, Ruan Li-Jun, Jiang Xing, Song Zhi-Jun, Wei Kun-Hua, Qin Shuang-Shuang, Liang Ying, Hou Xiao-Li, Wang Xi-Jun, Miao Jian-Hua
Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement/Guangxi Engineering Research Center of TCM Resource Intelligent Creation,Guangxi Botanical Garden of Medicinal Plant Nanning 530023,China.
Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement/Guangxi Engineering Research Center of TCM Resource Intelligent Creation,Guangxi Botanical Garden of Medicinal Plant Nanning 530023,China the Second Affiliated Hospital of Hengyang Medical School,University of South China Hengyang 421001,China.
Zhongguo Zhong Yao Za Zhi. 2022 Nov;47(22):5978-5990. doi: 10.19540/j.cnki.cjcmm.20220726.601.
Peptide is a compound consisting of 2-50 amino acids, which is intermediate between small molecule and protein. It is characterized by a variety of biological activities, easy absorption, strong specific targeting, and few side effects and has become one of the hotspots in biomedical research in recent years. Chinese medicine contains a large number of peptides. The traditional processing methods such as decocting and boiling can effectively boost peptides to exert their due biological activities. At present, however, the research on Chinese medicinal components in laboratory generally employs high-concentration alcohol extraction method, which may cause the peptides to be ignored in many natural Chinese medicines. Substantial studies have revealed that the peptides in Chinese medicine are important material basis responsible for the traditional efficacy. Based on years of research and literature retrieval, this study put forward the concept of "traditional Chinese medicine(TCM)-peptides", referring to the components consisting of two or more amino acids with molecular weight between small molecules and proteins that can express the efficacy of Chinese medicine. Furthermore, this study also summarized the extraction and separation of TCM-peptides, and structure determination methods and routes, predicted the research prospect of modern research methods of TCM-peptides based on "holistic view" and big data. The artificial intelligence prediction was combined with high-throughput screening technology to improve the discovery efficiency and accuracy of TCM-peptides, and holographic images between TCM-peptides and biological targets were established to provide references for the innovative drug design and related health product development of TCM-peptides based on TCM theories.
肽是一种由2至50个氨基酸组成的化合物,处于小分子和蛋白质之间。它具有多种生物活性、易于吸收、特异性靶向性强且副作用少等特点,已成为近年来生物医学研究的热点之一。中药中含有大量的肽。传统的煎煮等炮制方法能有效促使肽发挥其应有的生物活性。然而,目前实验室对中药成分的研究普遍采用高浓度乙醇提取法,这可能导致许多天然中药中的肽被忽视。大量研究表明,中药中的肽是其传统功效的重要物质基础。基于多年的研究和文献检索,本研究提出了“中药肽”的概念,即指由两个或两个以上氨基酸组成、分子量介于小分子和蛋白质之间且能表达中药功效的成分。此外,本研究还总结了中药肽的提取分离、结构测定方法及路线,基于“整体观”和大数据预测了中药肽现代研究方法的研究前景。将人工智能预测与高通量筛选技术相结合,提高中药肽的发现效率和准确性,并建立中药肽与生物靶点之间的全息图像,为基于中医理论的中药肽创新药物设计及相关健康产品开发提供参考。