In silico identification of anti-cancer compounds and plants from traditional Chinese medicine database

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Dai, Shao Xing ^a,b   Li, Wen Xing ^a,c   Han, Fei Fei ^a,b   Guo, Yi Cheng ^a,d   Zheng, Jun Juan ^a,b   Liu, Jia Qian ^a,b   Wang, Qian ^a,b   Gao, Yue Dong ^a   Li, Gong Hua ^a,b   Huang, Jing Fei ^a,b,e,f  

^a KUNMING INSTITUTE OF ZOOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c ANHUI UNIVERSITY   (China)

^d UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^e SOOCHOW UNIVERSITY   (China)

^f The Collaborative Innovation Center of Yunnan Natural Products and Biological Pharmacy   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANTINEOPLASTIC AGENT; HERBACEOUS AGENT;

CHEMISTRY; CHINESE MEDICINE; CLASSIFICATION; COMPUTER SIMULATION; DATA MINING; FACTUAL DATABASE; HUMAN; MEDICINAL PLANT; NEOPLASM; STATISTICS AND NUMERICAL DATA; STRUCTURE ACTIVITY RELATION;

ANTINEOPLASTIC AGENTS, PHYTOGENIC; COMPUTER SIMULATION; DATA MINING; DATABASES, FACTUAL; DRUGS, CHINESE HERBAL; HUMANS; MEDICINE, CHINESE TRADITIONAL; NEOPLASMS; PLANTS, MEDICINAL; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84966269285     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep25462     Document Type: Article

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