Z
Zhiwei Cao
Researcher at Tongji University
Publications - 119
Citations - 3325
Zhiwei Cao is an academic researcher from Tongji University. The author has contributed to research in topics: Epitope & Gene. The author has an hindex of 27, co-authored 110 publications receiving 2879 citations. Previous affiliations of Zhiwei Cao include Liaoning University of Traditional Chinese Medicine & Shanghai University.
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Journal ArticleDOI
The Schistosoma japonicum genome reveals features of host-parasite interplay
Yan Zhou,Huajun Zheng,Yangyi Chen,Lei Zhang,Kai Wang,Jing Guo,Zhen Huang,Bo Zhang,Wei Huang,Ke Jin,Tonghai Dou,Masami Hasegawa,Li Wang,Yuan Zhang,Jie Zhou,Lin Tao,Zhiwei Cao,Yixue Li,Tomas Vinar,Brona Brejová,Daniel G. Brown,Ming Li,David J. Miller,David Blair,Yang Zhong,Zhu Chen,Feng Liu,Wei Hu,Zhi-Qin Wang,Qin-Hua Zhang,Huai-Dong Song,Sai-Juan Chen,Xue-Nian Xu,Bin Xu,Chuan Ju,Yucheng Huang,Paul J. Brindley,Donald P. McManus,Zheng Feng,Ze-Guang Han,Gang Lu,Shuang-Xi Ren,Y.S. Wang,Wenyi Gu,Hui Kang,Jie Chen,Xiaoyun Chen,Shuting Chen,Lijun Wang,Jie Yan,Biyun Wang,Xinyan Lv,Lei Jin,Bofei Wang,Shiyin Pu,Xiang-Lin Zhang,Wei Zhang,Qiuping Hu,Genfeng Zhu,Jun Wang,Jun Yu,Jing Wang,Huanming Yang,Zemin Ning,Matthew Beriman,Chia-Lin Wei,Yijun Ruan,Guoping Zhao,Shengyue Wang +68 more
TL;DR: The genome provides a global insight into the molecular architecture and host interaction of this complex metazoan pathogen, revealing that it can exploit host nutrients, neuroendocrine hormones and signalling pathways for growth, development and maturation.
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Genome sequencing and comparative analysis of Saccharomyces cerevisiae strain YJM789.
Wu Wei,John H. McCusker,Richard W. Hyman,Ted Jones,Ye Ning,Zhiwei Cao,Zhenglong Gu,Dan Bruno,Molly Miranda,Michelle Nguyen,Julie Wilhelmy,Caridad Komp,Raquel Tamse,Xiaojing Wang,Peilin Jia,Philippe P. Luedi,Peter J. Oefner,Lior David,Fred S. Dietrich,Yixue Li,Ronald W. Davis,Lars M. Steinmetz +21 more
TL;DR: The genome of Saccharomyces cerevisiae strain YJM789, which was derived from a yeast isolated from the lung of an AIDS patient with pneumonia, contains clues to pathogenicity and spurs the development of more powerful approaches to dissecting the genetic basis of complex hereditary traits.
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Proteomics Characterization of the Cytotoxicity Mechanism of Ganoderic Acid D and Computer-automated Estimation of the Possible Drug Target Network
Qing-Xi Yue,Zhiwei Cao,Shu-Hong Guan,Xiao-Hui Liu,Lin Tao,Wanying Wu,Yixue Li,Pengyuan Yang,Xuan Liu,De-An Guo +9 more
TL;DR: The cytotoxic effect of GAD was associated with regulated expression of 21 proteins, and the intensive study of functional association among these 21 proteins revealed that 14 of them were closely related in the protein-protein interaction network.
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Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer.
Yi Sun,Zhen Sheng,Chao Ma,Kailin Tang,Ruixin Zhu,Zhuanbin Wu,Ruling Shen,Jun Feng,Dingfeng Wu,Danyi Huang,Dandan Huang,Jian Fei,Qi Liu,Zhiwei Cao +13 more
TL;DR: A Ranking-system of Anti-Cancer Synergy (RACS) that combines features of targeting networks and transcriptomic profiles, and validate it on three types of cancer, can significantly improve drug synergy prediction and markedly reduce the experimental prescreening of existing drugs for repurposing to cancer treatment.
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Bioinformatics analysis of the epitope regions for norovirus capsid protein.
TL;DR: The predicted conformational epitope regions of norovirus VP1 mainly concentrated on N-Terminal, Middle Part and C-terminal, and the overlapping with experimental epitopes indicates the important role of latest computational technologies.