利用烟属的普通烟草品种龙烟2号与曼陀罗属的曼陀罗进行属间远缘杂交育种,培育含阿托品及莨菪烷生物碱的新型烟草,满足患哮喘、咳嗽等病症,但又难以戒烟的消费者的需要。采取无性与有性杂交相结合的方法克服杂交不孕。经酶谱及R A PD分...利用烟属的普通烟草品种龙烟2号与曼陀罗属的曼陀罗进行属间远缘杂交育种,培育含阿托品及莨菪烷生物碱的新型烟草,满足患哮喘、咳嗽等病症,但又难以戒烟的消费者的需要。采取无性与有性杂交相结合的方法克服杂交不孕。经酶谱及R A PD分子检测,稳定的杂种后代含有双亲的遗传物质;医药成分与单料烟烟气检测结果表明,稳定的杂种后代,都含阿托品、东莨菪碱;镜检结果表明,F1-F18代细胞染色体呈杂合状态;卷烟工业验证其具有较高的利用价值。展开更多
Network pharmacology is a new discipline based on the theory of systems biology and network analysis of biological systems to design the drugs.It comprehensively observes the intervention and influence of drugs on the...Network pharmacology is a new discipline based on the theory of systems biology and network analysis of biological systems to design the drugs.It comprehensively observes the intervention and influence of drugs on the disease network,and reveals the mystery of multi-molecular drugs synergistically acting on disease.These concepts reflect the ideas of multi-component,multi-target and system regulation,and have many similarities with the research ideas of traditional Chinese medicine,which focuses on syndrome differentiation and treatment,emphasizes the overall understanding of the etiology and pathogenesis.Network pharmacology can be used to predict and identify the target and active component of traditional herbal medicine,to clarify the mechanism of action,to scientifically explain the rules of the prescription,to explore the rules of real-world prescription,to discover new indications and new active compounds,and to study drug relocation,etc.The applications of network pharmacology in traditional herbal medicine were systematically summarized to demonstrate the significant value in these areas.展开更多
Objective:Nature theory of Chinese medicine (CM) is the core basic theory of Traditional Chinese Medicine (TCM), in which cold-hot nature is the focus of research. Studies have found that CM ingredients are the materi...Objective:Nature theory of Chinese medicine (CM) is the core basic theory of Traditional Chinese Medicine (TCM), in which cold-hot nature is the focus of research. Studies have found that CM ingredients are the material basis for the production of medicine natures. Therefore, it is speculated that CMs with similar composition of substances should have similar medicinal nature. Modern work studies cold-hot medicine of CMs with chemical fingerprinting technology because the chemical fingerprint data of CM can reflect the whole composition of CM ingredients. Methods:To verify the hypothesis above, in this work, we study quantifying the similarity of CM ingredients to fingerprint similarity, and explore the relationship between the composition of CMs and cold-hot nature. Firstly, we utilize ultraviolet (UV) spectrum technology to analyze 61 CMs, which have clear cold-hot nature (including 30 ‘cold’ CMs and 31 ‘hot’ CMs). Secondly, with the constructed fingerprint database of CMs, a distance metric learning algorithm is studied to metric the similarity of UV fingerprints. Finally, a retrieval scheme is proposed to build a predictive identification model to identify cold-hot nature of CMs. Results:By means of numerous experiment analyses, ultraviolet spectrum data of petroleum ether solvent can better represent CMs to distinguish between cold and hot natures. Comparing with existing classical models, the proposed identification scheme has better predictive performance. Conclusion:The experimental results prove our inference that CMs with similar composition of substances should have similar medicinal nature. The proposed prediction model is proved to be effective and feasible.展开更多
文摘利用烟属的普通烟草品种龙烟2号与曼陀罗属的曼陀罗进行属间远缘杂交育种,培育含阿托品及莨菪烷生物碱的新型烟草,满足患哮喘、咳嗽等病症,但又难以戒烟的消费者的需要。采取无性与有性杂交相结合的方法克服杂交不孕。经酶谱及R A PD分子检测,稳定的杂种后代含有双亲的遗传物质;医药成分与单料烟烟气检测结果表明,稳定的杂种后代,都含阿托品、东莨菪碱;镜检结果表明,F1-F18代细胞染色体呈杂合状态;卷烟工业验证其具有较高的利用价值。
文摘Network pharmacology is a new discipline based on the theory of systems biology and network analysis of biological systems to design the drugs.It comprehensively observes the intervention and influence of drugs on the disease network,and reveals the mystery of multi-molecular drugs synergistically acting on disease.These concepts reflect the ideas of multi-component,multi-target and system regulation,and have many similarities with the research ideas of traditional Chinese medicine,which focuses on syndrome differentiation and treatment,emphasizes the overall understanding of the etiology and pathogenesis.Network pharmacology can be used to predict and identify the target and active component of traditional herbal medicine,to clarify the mechanism of action,to scientifically explain the rules of the prescription,to explore the rules of real-world prescription,to discover new indications and new active compounds,and to study drug relocation,etc.The applications of network pharmacology in traditional herbal medicine were systematically summarized to demonstrate the significant value in these areas.
基金National key basic research development program (973 Program)(Grant No.:2007CB512600)National Natural Science Foundation of China (Grant No.:81473369)+1 种基金Key research and development plan of Shandong province (Grant No.:2016CYJS08A01-1)Shandong Province TCM science and technology development plan project (2019-0037).
文摘Objective:Nature theory of Chinese medicine (CM) is the core basic theory of Traditional Chinese Medicine (TCM), in which cold-hot nature is the focus of research. Studies have found that CM ingredients are the material basis for the production of medicine natures. Therefore, it is speculated that CMs with similar composition of substances should have similar medicinal nature. Modern work studies cold-hot medicine of CMs with chemical fingerprinting technology because the chemical fingerprint data of CM can reflect the whole composition of CM ingredients. Methods:To verify the hypothesis above, in this work, we study quantifying the similarity of CM ingredients to fingerprint similarity, and explore the relationship between the composition of CMs and cold-hot nature. Firstly, we utilize ultraviolet (UV) spectrum technology to analyze 61 CMs, which have clear cold-hot nature (including 30 ‘cold’ CMs and 31 ‘hot’ CMs). Secondly, with the constructed fingerprint database of CMs, a distance metric learning algorithm is studied to metric the similarity of UV fingerprints. Finally, a retrieval scheme is proposed to build a predictive identification model to identify cold-hot nature of CMs. Results:By means of numerous experiment analyses, ultraviolet spectrum data of petroleum ether solvent can better represent CMs to distinguish between cold and hot natures. Comparing with existing classical models, the proposed identification scheme has better predictive performance. Conclusion:The experimental results prove our inference that CMs with similar composition of substances should have similar medicinal nature. The proposed prediction model is proved to be effective and feasible.
