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Articles by Jin-Ku Bao
Total Records ( 2 ) for Jin-Ku Bao
  Jianzhen Lv , Zijie Wang , Li Zhang , Hai-Lian Wang , Yuande Liu , Chunyang Li , Jiagang Deng , Yi-Wang and Jin-Ku Bao
  Mangiferin, a C-glucosylxanthone (1, 3, 6, 7-tetrahydroxyxanthone-C2-β-D-glucoside) purified from plant sources was shown to have in vitro growth-inhibitory and apoptosis-inducing activity against MCF-7 cells and it also possessed anti-tumor property on MCF-7 xenograft mice in vivo. Mangiferin triggered G2/M phase cell-cycle arrest via down-regulating cdc2-cyclinB1 singling pathway and induced apoptotic cell death through inhibiting PKC-NFκB pathway in human breast carcinoma MCF-7 cells. In addition, mangiferin had anti-cancer effects in vivo and it could decrease the volume and weight of subcutaneous tumor mass obviously as well as expanded lifespan of xenograft mice. With the molecular mechanisms of mangiferin-induced anti-tumor activities were gradually clarified, traditional Chinese medicine would become potential anti-neoplastic drugs in future cancer therapeutics.
  Nan Zhou , Jin-Chun Zhang , Yong-Xi Liu , Yang Yu , Yuan Deng , Ling Feng , Wei Qi , Chuan-Fang Wu and Jin-Ku Bao
  Developing multi-target drugs to obtain potentially innovative medicines has become a trend in the treatment of multifactorial diseases. The open-access resources are used by computational biologists to uncover relationships among various datasets for further drug discovery. In this study, researchers systematically analyzed approved retail drugs of China Food and Drug Administration (CFDA) in terms of biological interactions networks and found that CFDA-approved drugs had significant multi-target properties. To determine the features of these drugs and understand their indication on multi-target drug design, researchers computationally built a bipartite graph composed of drugs and target proteins linked by drug-target binary associations. Furthermore, researchers chose 19 drugs whose target numbers were ≥15 and then integrated human Protein-Protein Interactions (PPIs) datasets from DIP, IntAct, BioGRID, MINT and HPRD to generate a human PPIs network to analyze targets of these drugs. Graph theory analysis identified significant nodes including five multi-target drugs and eight drug targets which indicated that some of the CFDA-approved drugs were potentially valuable for the future development of multi-target drugs.
 
 
 
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