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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Ab-origin: an enhanced tool to identify the sourcing gene segments in germline for rearranged antibodies
TL;DR: Ab-origin is presented, a program designed by batch query against germline databases based on empirical knowledge, optimized scoring scheme and appropriate parameters, which outperformed all the other five popular tools in terms of prediction accuracy.
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SEPPA 3.0-enhanced spatial epitope prediction enabling glycoprotein antigens.
Chen Zhou,Zikun Chen,Lu Zhang,Deyu Yan,Tiantian Mao,Kailin Tang,Tianyi Qiu,Tianyi Qiu,Zhiwei Cao +8 more
TL;DR: As the first server enabling accurate epitope prediction for glycoproteins, SEPPA 3.0 shows significant advantages over popular peers on both general protein and glycoprotein antigens.
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Insight into potential toxicity mechanisms of melamine: an in silico study.
TL;DR: It was indicated that the toxicities of melamine and cyanuric acid might also be caused by breaking down redox balance, perturbing the arginine and proline metabolism and damaging the homeostasis of energy production system.
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Clarifying the signal network of salvianolic acid B using proteomic assay and bioinformatic analysis.
Li-Xing Feng,Chun-Jie Jing,Kailin Tang,Lin Tao,Zhiwei Cao,Wanying Wu,Shu-Hong Guan,Baohong Jiang,Min Yang,Xuan Liu,De-An Guo +10 more
TL;DR: In the present study, epidermal growth factor receptor (EGFR) was predicted to be the most possible direct protein target of SB by INVDOCK, a ligand–protein inverse‐docking algorithm and signal network from EGFR to the signal‐related proteins was established using bioinformatic analysis.
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The recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope
Tianyi Qiu,Tianyi Qiu,Jingxuan Qiu,Jingxuan Qiu,Jun Feng,Jun Feng,Dingfeng Wu,Dingfeng Wu,Yiyan Yang,Yiyan Yang,Kailin Tang,Kailin Tang,Zhiwei Cao,Zhiwei Cao,Ruixin Zhu,Ruixin Zhu +15 more
TL;DR: In this review, the new emerging target descriptors and cross‐term descriptors not only significantly increased the performance of PCM modelling but also expanded its application scope from traditional protein‐ligand interaction to more abundant interactions, including protein‐peptide, protein‐DNA and even protein‐protein interactions.