M
Mingyue Zheng
Researcher at Chinese Academy of Sciences
Publications - 273
Citations - 5783
Mingyue Zheng is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 34, co-authored 215 publications receiving 3867 citations. Previous affiliations of Mingyue Zheng include Ocean University of China & Southern Medical University.
Papers
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Journal ArticleDOI
A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling
Dingyan Wang,Jie Yu,Lifan Chen,Xutong Li,Hualiang Jiang,Kaixian Chen,Mingyue Zheng,Xiaomin Luo +7 more
TL;DR: In this article, the authors investigated a number of consensus strategies in order to combine both distance-based and Bayesian approaches together with post-hoc calibration for improved uncertainty quantification in QSAR (Quantitative Structure-Activity Relationship) regression modeling.
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Drug target inference by mining transcriptional data using a novel graph convolutional network framework
Feisheng Zhong,Xiaolong Wu,Xiaolong Wu,Ruirui Yang,Ruirui Yang,Xutong Li,Dingyan Wang,Zunyun Fu,Zunyun Fu,Xiaohong Liu,Xiaohong Liu,Xiaozhe Wan,Tianbiao Yang,Zisheng Fan,Zisheng Fan,Yinghui Zhang,Xiaomin Luo,Kaixian Chen,Sulin Zhang,Hualiang Jiang,Mingyue Zheng,Mingyue Zheng +21 more
TL;DR: Wang et al. as discussed by the authors proposed a Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles.
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Enantioselective drug-protein interaction between mexiletine and plasma protein.
TL;DR: This study examined the interaction of mexiletine enantiomers with human plasma, human serum albumin (HSA), and human α1‐acid glycoprotein (hAGP), and characterized the binding modes of meXiletineEnantiomer with hAGP in the molecular level.
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Willingness to participate in front-line work during the COVID-19 pandemic: A cross-sectional study of nurses from a province in South-West China.
TL;DR: Wang et al. as mentioned in this paper explored the current status of Chinese nurses' willingness to work during the COVID-19 pandemic and the factors that influence them, finding that the vast majority of nurses were willing to participate in front-line work and affirmed the positive effects of previous infection prevention training, self-efficacy and self-worth.
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Fragment-based prediction of skin sensitization using recursive partitioning.
Jing Lu,Mingyue Zheng,Yong Wang,Qiancheng Shen,Xiaomin Luo,Hualiang Jiang,Hualiang Jiang,Kaixian Chen +7 more
TL;DR: The results highlight that fragment-based RP tree is a preferable method for identifying skin sensitizers, and RP tree creates a graphic tree to identify the most important properties associated with skin sensitization.