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典型文献
Identification of multi-target anti-cancer agents from TCM formula by in silico prediction and in vitro validation
文献摘要:
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 pharma-cological 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 naive 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 accord-ing 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.
文献关键词:
作者姓名:
ZHANG Bao-Yue;ZHENG Yi-Fu;ZHAO Jun;KANG De;WANG Zhe;XU Lv-Jie;LIU Ai-Lin;DU Guan-Hua
作者机构:
State Key Laboratory of Bioactive Substance and Function of Natural Medicines,Institute of Materia Medica,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100050,China;School of Life Sciences,Tsinghua University,Beijing 100084,China
文献出处:
引用格式:
[1]ZHANG Bao-Yue;ZHENG Yi-Fu;ZHAO Jun;KANG De;WANG Zhe;XU Lv-Jie;LIU Ai-Lin;DU Guan-Hua-.Identification of multi-target anti-cancer agents from TCM formula by in silico prediction and in vitro validation)[J].中国天然药物,2022(05):332-351
A类:
B类:
Identification,cancer,agents,from,TCM,formula,by,silico,prediction,vitro,validation,Cancer,complex,disease,associated,multiple,gene,mutations,malignant,phenotypes,drugs,provide,promising,therapy,treatment,Natural,products,abundant,chemical,structure,rich,pharma,cological,characteristics,could,be,ideal,sources,screening,antineoplastic,this,paper,tumor,related,targets,were,collected,searching,Therapeutic,Target,Database,Thomson,Reuters,Integrity,database,system,mt,QSAR,models,was,constructed,using,naive,Bayesian,recursive,partitioning,algorithm,first,Through,some,dominant,fragments,that,analyzed,which,helpful,designing,Anti,traditional,Chinese,medicine,its,natural,library,potential,predicted,result,alkaloids,flavonoids,terpenoids,representative,compounds,verified,accord,literature,review,most,selected,found,exert,certain,activity,biological,experiments,conclusion,very,effective,reliable,further,used,elucidating,functional,mechanism,will,lay,important,information,study
AB值:
0.505064
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