Zhirui Zhang

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Shikonin, a natural small agent, has shown inhibitory effect in many kinds of cells, which increases intracellular reactive oxygen species (ROS) level and causes mitochondrial injury. In this study, shikonin showed good inhibitory effect on nasopharyngeal carcinoma CNE-2Z cells in vivo and vitro. The results presented here revealed that ROS levels increased(More)
Although sequence-to-sequence (seq2seq) network has achieved significant success in many NLP tasks such as machine translation and text summarization, simply applying this approach to transition-based dependency parsing cannot yield a comparable performance gain as in other stateof-the-art methods, such as stack-LSTM and head selection. In this paper, we(More)
BACKGROUND Hsp90 proteins are important therapeutic targets for many anti-cancer drugs in clinical trials. Geldanamycin (GA) was identified as the first natural inhibitor of Hsp90, increasing evidence suggests that GA was not a good choice for clinical trials. In this study, we investigated two new non-benzoquinone geldanamycin analogs of Hsp90 inhibitors,(More)
3-Bromopyruvic acid (3-BP) is a well-known inhibitor of energy metabolism. It has been proposed as an anticancer agent as well as a chemosensitizer for use in combination with anticancer drugs. 5-Fluorouracil (5-FU) is the first-line chemotherapeutic agent for colorectal cancer; however, most patients develop resistance to 5-FU through various mechanisms.(More)
OBJECTIVE To investigate the effects of LCL161, a Smac mimetic, on the proliferation and apoptosis in hepatocellular carcinoma cells and the underlying mechanisms. 
 METHODS The effect of LCL161 on the cell viability of HepG2 and SMMC7721 cells was measured by MTT assay. The effect of LCL161 at lower concentrations on the proliferation in hepatocellular(More)
In sequence prediction task, there mainly exist two types of learning algorithms. One genre based on maximum likelihood estimation (MLE) supervises the training in every time step via a surrogate loss function but leads to train-test discrepancy and hard-to-train problem. The other genre based on Reinforcement Learning gives the model freedom to generate(More)
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