J
Jing Xing
Researcher at Michigan State University
Publications - 37
Citations - 817
Jing Xing is an academic researcher from Michigan State University. The author has contributed to research in topics: Virtual screening & Medicine. The author has an hindex of 13, co-authored 28 publications receiving 480 citations. Previous affiliations of Jing Xing include East China University of Science and Technology & Chinese Academy of Sciences.
Papers
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Journal ArticleDOI
In silico ADME/T modelling for rational drug design
Yulan Wang,Jing Xing,Yuan Xu,Nannan Zhou,Jianlong Peng,Zhaoping Xiong,Xian Liu,Xiaomin Luo,Cheng Luo,Kaixian Chen,Mingyue Zheng,Hualiang Jiang +11 more
TL;DR: The development of in silico models for some physicochemical parameters, ADME properties and toxicity evaluation, with an emphasis on the modelling approaches thereof, their application in drug discovery, and the potential merits or deficiencies of these models are introduced.
Journal ArticleDOI
Artificial intelligence in drug design.
Feisheng Zhong,Jing Xing,Xutong Li,Xiaohong Liu,Xiaohong Liu,Zunyun Fu,Zhaoping Xiong,Zhaoping Xiong,Dong Lu,Xiaolong Wu,Jihui Zhao,Xiaoqin Tan,Fei Li,Fei Li,Xiaomin Luo,Zhaojun Li,Kaixian Chen,Kaixian Chen,Mingyue Zheng,Hualiang Jiang,Hualiang Jiang +20 more
TL;DR: Recently, due to the strong generalization ability and powerful feature extraction capability, deep learning methods have been employed in predicting the molecular properties as well as generating the desired molecules, which will further promote the application of AI technologies in the field of drug design.
Journal ArticleDOI
Discovery of Highly Potent, Selective, and Orally Efficacious p300/CBP Histone Acetyltransferases Inhibitors.
Yaxi Yang,Rukang Zhang,Zhaojun Li,Lianghe Mei,Shili Wan,Hong Ding,Zhifeng Chen,Jing Xing,Huijin Feng,Jie Han,Hualiang Jiang,Mingyue Zheng,Cheng Luo,Bing Zhou +13 more
TL;DR: The discovery of novel, highly selective, potent small molecule inhibitors of p300/CBP histone acetyltransferases (HAT) with desired drug-like properties are reported, exemplified by B026, which achieves significant and dose-dependent tumor growth inhibition in an animal model of human cancer.
Journal ArticleDOI
Modulating TRADD to restore cellular homeostasis and inhibit apoptosis.
Daichao Xu,Daichao Xu,Heng Zhao,Minzhi Jin,Hong Zhu,Bing Shan,Jiefei Geng,Slawomir A. Dziedzic,Palak Amin,Lauren Mifflin,Masanori Gomi Naito,Ayaz Najafov,Jing Xing,Lingjie Yan,Jianping Liu,Ying Qin,Xinqian Hu,H. Wang,Mengmeng Zhang,Vica Jean Manuel,Li Tan,Zhuohao He,Zhuohao He,Zhen-Yu J. Sun,Virginia M.-Y. Lee,Gerhard Wagner,Junying Yuan +26 more
TL;DR: It is concluded that pharmacological targeting of TRADD may represent a promising strategy for inhibiting cell death and restoring homeostasis to treat human diseases.
Journal ArticleDOI
Machine-Learning-Assisted Approach for Discovering Novel Inhibitors Targeting Bromodomain-Containing Protein 4
Jing Xing,Jing Xing,Wenchao Lu,Rongfeng Liu,Yulan Wang,Yiqian Xie,Hao Zhang,Zhe Shi,Hao Jiang,Yu-Chih Liu,Kaixian Chen,Hualiang Jiang,Cheng Luo,Mingyue Zheng +13 more
TL;DR: A novel, structure-based VS approach that uses machine-learning algorithms trained on the priori structure and activity knowledge to predict the likelihood that a compound is aBRD4i based on its binding pattern with BRD4 is demonstrated.