J
Jing Lu
Researcher at Yantai University
Publications - 45
Citations - 992
Jing Lu is an academic researcher from Yantai University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 18, co-authored 38 publications receiving 789 citations. Previous affiliations of Jing Lu include Chinese Academy of Sciences & East China University of Science and Technology.
Papers
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Journal ArticleDOI
A similarity-based method for prediction of drug side effects with heterogeneous information.
TL;DR: Results indicated that drug similarity in fingerprint was most related to the prediction of drug side effects and all drug properties gave less or more contributions.
Journal ArticleDOI
H6, a novel hederagenin derivative, reverses multidrug resistance in vitro and in vivo.
Yanting Yang,Daokun Guan,Lei Lei,Jing Lu,Jia qi Liu,Gangqiang Yang,Chunhong Yan,Rong Zhai,Jingwei Tian,Yi Bi,Fenghua Fu,Hongbo Wang +11 more
TL;DR: H6 is a novel and potent MDR reversal agent, which has the potential to be administered in combination with conventional anticancer drugs and demonstrates robust reversal activity against MDR in vitro and in vivo.
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Small-Molecule Targeting of E3 Ligase Adaptor SPOP in Kidney Cancer
Zhongqiang Guo,Zhongqiang Guo,Zhongqiang Guo,Tong Zheng,Baoen Chen,Cheng Luo,Sisheng Ouyang,Shouzhe Gong,Jiafei Li,Liu-Liang Mao,Fulin Lian,Yong Yang,Yue Huang,Li Li,Jing Lu,Bidong Zhang,Luming Zhou,Hong Ding,Zhiwei Gao,Liqun Zhou,Guoqiang Li,Ran Zhou,Ke Chen,Jingqiu Liu,Yi Wen,Likun Gong,Yuwen Ke,Shang-Dong Yang,Xiao-Bo Qiu,Naixia Zhang,Jin Ren,Dafang Zhong,Cai-Guang Yang,Jiang Liu,Hualiang Jiang +34 more
TL;DR: It is shown that a structure-based design and subsequent hit optimization yield small molecules that can inhibit the SPOP-substrate protein interaction and can suppress oncogenic SPop-signaling pathways.
Journal ArticleDOI
A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes
TL;DR: An attempt to develop a prediction method and to gain insights from it by utilizing ontology information of drug compounds, which could be used as an efficient tool to identify ATC-classes of novel drugs or to discover novel uses of known drugs.