Cancer is a complex disease associated with multiple gene mutations and malignant phenotypes,and multi-target drugs provide a promising therapy idea for the treatment of cancer.Natural products with abundant chemical ...Cancer is a complex disease associated with multiple gene mutations and malignant phenotypes,and multi-target drugs provide a promising therapy idea for the treatment of cancer.Natural products with abundant chemical structure types and rich pharmacological characteristics could be ideal sources for screening multi-target antineoplastic drugs.In this paper,50 tumor-related targets were collected by searching the Therapeutic Target Database and Thomson Reuters Integrity database,and a multi-target anti-cancer prediction system based on mt-QSAR models was constructed by using naïve Bayesian and recursive partitioning algorithm for the first time.Through the multi-target anti-cancer prediction system,some dominant fragments that act on multiple tumor-related targets were analyzed,which could be helpful in designing multi-target anti-cancer drugs.Anti-cancer traditional Chinese medicine(TCM)and its natural products were collected to form a TCM formula-based natural products library,and the potential targets of the natural products in the library were predicted by multi-target anti-cancer prediction system.As a result,alkaloids,flavonoids and terpenoids were predicted to act on multiple tumor-related targets.The predicted targets of some representative compounds were verified according to literature review and most of the selected natural compounds were found to exert certain anti-cancer activity in vitro biological experiments.In conclusion,the multi-target anti-cancer prediction system is very effective and reliable,and it could be further used for elucidating the functional mechanism of anti-cancer TCM formula and screening for multi-target anti-cancer drugs.The anti-cancer natural compounds found in this paper will lay important information for further study.展开更多
TCM formulae are the important guidances for clinical application of traditional Chinese medicines,which follow the principles of diagnosis and treatment in TCM.Elucidating the bio-active components of TCM formulae is...TCM formulae are the important guidances for clinical application of traditional Chinese medicines,which follow the principles of diagnosis and treatment in TCM.Elucidating the bio-active components of TCM formulae is the key to the modernization and internationalization of traditional Chinese medicines.With the rapid development of modern instruments and technology,many new theories,methods and strategies are emerging,which upgrade the research of TCM formulae into a higher level.Only when the medicinal efficacy,bio-active components,function mechanism of TCM formulae are understood,we can guarantee TCM safety and quality control.In this paper,we summarized the latest modern research thoughts and methods on bio-active components of TCM formulae including formula decomposition study,serum pharmacology and serum pharmacochemistry,association analysis,biochro-matography,network pharmacology,metabolomics and proteomics,so as to provide reference for the research and development of TCM in the future.展开更多
基金supported by the National Great Science Technology Projects(2018ZX09711001-003-002,2018ZX09711001-012)the National Natural Science Foundation of China(No.81673480)+2 种基金the Beijing National Science Foundation(7192134)CAMS Initiative for Innovative Medicine(CAMS-IZM)(2016-IZM-3-007)CAMS Major collaborative innovation fund for major frontier research(2020-I2M-1-003).
文摘Cancer is a complex disease associated with multiple gene mutations and malignant phenotypes,and multi-target drugs provide a promising therapy idea for the treatment of cancer.Natural products with abundant chemical structure types and rich pharmacological characteristics could be ideal sources for screening multi-target antineoplastic drugs.In this paper,50 tumor-related targets were collected by searching the Therapeutic Target Database and Thomson Reuters Integrity database,and a multi-target anti-cancer prediction system based on mt-QSAR models was constructed by using naïve Bayesian and recursive partitioning algorithm for the first time.Through the multi-target anti-cancer prediction system,some dominant fragments that act on multiple tumor-related targets were analyzed,which could be helpful in designing multi-target anti-cancer drugs.Anti-cancer traditional Chinese medicine(TCM)and its natural products were collected to form a TCM formula-based natural products library,and the potential targets of the natural products in the library were predicted by multi-target anti-cancer prediction system.As a result,alkaloids,flavonoids and terpenoids were predicted to act on multiple tumor-related targets.The predicted targets of some representative compounds were verified according to literature review and most of the selected natural compounds were found to exert certain anti-cancer activity in vitro biological experiments.In conclusion,the multi-target anti-cancer prediction system is very effective and reliable,and it could be further used for elucidating the functional mechanism of anti-cancer TCM formula and screening for multi-target anti-cancer drugs.The anti-cancer natural compounds found in this paper will lay important information for further study.
基金supported by the Key Research and Development Program of Shaanxi(No.2019ZDLSF04-05)the National Natural Science Foundation of China(No.81974522),the Subject Innovation Team of Shaanxi University of Chinese Medi-cine(No.2019-YL10)the Youth Innovation Team of Shaanxi Universities(2020).
文摘TCM formulae are the important guidances for clinical application of traditional Chinese medicines,which follow the principles of diagnosis and treatment in TCM.Elucidating the bio-active components of TCM formulae is the key to the modernization and internationalization of traditional Chinese medicines.With the rapid development of modern instruments and technology,many new theories,methods and strategies are emerging,which upgrade the research of TCM formulae into a higher level.Only when the medicinal efficacy,bio-active components,function mechanism of TCM formulae are understood,we can guarantee TCM safety and quality control.In this paper,we summarized the latest modern research thoughts and methods on bio-active components of TCM formulae including formula decomposition study,serum pharmacology and serum pharmacochemistry,association analysis,biochro-matography,network pharmacology,metabolomics and proteomics,so as to provide reference for the research and development of TCM in the future.