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Chemistry

D-Index
48
Citations
9369
World Ranking
15153
National Ranking
2352

Overview

Mingyue Zheng is a researcher affiliated with the Chinese Academy of Sciences in China. Their work spans various interdisciplinary domains within biochemistry, genetics, and molecular biology, with a specific focus on computational approaches and drug discovery methodologies.

The scientist has contributed extensively to the field of Biochemistry, Genetics and Molecular Biology, authoring 251 documented publications. Their subfield expertise includes Molecular Biology with 211 publications, Computational Theory and Mathematics with 65, Immunology with 40, Materials Chemistry with 38, and Organic Chemistry with 36.

The main research topics covered in their publications are:

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Protein Structure and Dynamics
  • Bioinformatics and Genomic Networks
  • Interferon and Immune Responses
  • Chemical Synthesis and Analysis
  • Protein Degradation and Inhibitors

Mingyue Zheng has frequently published in a variety of scientific journals and platforms. The most common publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Medicinal Chemistry
  • Nature Communications
  • arXiv (Cornell University)
  • Bioorganic Chemistry

Some of the recent papers authored or coauthored by Mingyue Zheng include:

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments (2020, Bioinformatics)
  • Generative Models for De Novo Drug Design (2021, Journal of Medicinal Chemistry)
  • Regulating Glucose Metabolism with Prodrug Nanoparticles for Promoting Photoimmunotherapy of Pancreatic Cancer (2021, Advanced Science)
  • Graph neural networks for automated de novo drug design (2021, Drug Discovery Today)
  • Optimization of metabolomic data processing using NOREVA (2021, Nature Protocols)

Collaborative research is a significant aspect of Mingyue Zheng's scientific contributions. Frequent coauthors include:

  • Xutong Li
  • Hualiang Jiang
  • Sulin Zhang
  • Zunyun Fu
  • Xiaomin Luo

Best Publications

  • Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism.

    Zhaoping Xiong;Zhaoping Xiong;Dingyan Wang;Xiaohong Liu;Xiaohong Liu;Feisheng Zhong

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments.

    Lifan Chen;Xiaoqin Tan;Dingyan Wang;Feisheng Zhong

  • In silico ADME/T modelling for rational drug design

    Yulan Wang;Jing Xing;Yuan Xu;Nannan Zhou

  • Preclinical characterization of anlotinib, a highly potent and selective vascular endothelial growth factor receptor-2 inhibitor.

    Chengying Xie;Xiaozhe Wan;Haitian Quan;Mingyue Zheng

  • Artificial intelligence in drug design.

    Feisheng Zhong;Jing Xing;Xutong Li;Xiaohong Liu;Xiaohong Liu

  • Generative Models for De Novo Drug Design.

    Xiaochu Tong;Xiaohong Liu;Xiaoqin Tan;Xutong Li

  • Magnetic properties of nanosized MnFe2O4 particles

    M Zheng;X.C Wu;B.S Zou;Y.J Wang

  • Graph neural networks for automated de novo drug design.

    Jiacheng Xiong;Zhaoping Xiong;Kaixian Chen;Hualiang Jiang

  • Regulating Glucose Metabolism with Prodrug Nanoparticles for Promoting Photoimmunotherapy of Pancreatic Cancer.

    Fang Sun;Fang Sun;Qiurong Zhu;Tianliang Li;Madiha Saeed

  • Syntheses of triazole-modified zanamivir analogues via click chemistry and anti-AIV activities.

    Jian Li;Mingyue Zheng;Wei Tang;Pei-Lan He

  • Lactic acid production from acidogenic fermentation of fruit and vegetable wastes

    Yuanyuan Wu;Hailing Ma;Mingyue Zheng;Kaijun Wang

  • Site of metabolism prediction for six biotransformations mediated by cytochromes P450

    Mingyue Zheng;Xiaomin Luo;Qiancheng Shen;Yong Wang

  • Identifying novel selective non-nucleoside DNA methyltransferase 1 inhibitors through docking-based virtual screening.

    Shijie Chen;Yulan Wang;Wen Zhou;Shanshan Li

  • Discovery of Highly Potent, Selective, and Orally Efficacious p300/CBP Histone Acetyltransferases Inhibitors.

    Yaxi Yang;Rukang Zhang;Zhaojun Li;Lianghe Mei

  • Astemizole Arrests the Proliferation of Cancer Cells by Disrupting the EZH2-EED Interaction of Polycomb Repressive Complex 2

    Xiangqian Kong;Limin Chen;Lianying Jiao;Xiangrui Jiang

  • Computational methods for drug design and discovery: focus on China.

    Mingyue Zheng;Xian Liu;Yuan Xu;Honglin Li

  • Sequence-based drug design as a concept in computational drug design

    Unknown

  • Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation

    Xutong Li;Zhaojun Li;Xiaolong Wu;Xiaolong Wu;Zhaoping Xiong;Zhaoping Xiong

  • Focused combinatorial library design based on structural diversity, druglikeness and binding affinity score.

    Gang Chen;Suxin Zheng;Xiaomin Luo;Jianhua Shen

  • Effect of pH on ethanol-type acidogenic fermentation of fruit and vegetable waste.

    Yuanyuan Wu;Cuiping Wang;Mingyue Zheng;Jiane Zuo

  • Molecular basis of NDM-1, a new antibiotic resistance determinant.

    Zhongjie Liang;Lianchun Li;Lianchun Li;Yuanyuan Wang;Limin Chen

  • Discovering Potent Inhibitors Against the beta-Hydroxyacyl-Acyl Carrier Protein Dehydratase (FabZ) of Helicobacter pylori: Structure-Based Design, Synthesis, Bioassay, and Crystal Structure Determination

    Lingyan He;Liang Zhang;Xiaofeng Liu;Xianghua Li

  • Computational screening for active compounds targeting protein sequences: methodology and experimental validation.

    Fei Wang;Dongxiang Liu;Heyao Wang;Cheng Luo

  • A solid model-based milling process simulation and optimization system integrated with CAD/CAM

    Z.Z Li;M Zheng;L Zheng;Z.J Wu

  • Recent Advances in Neuraminidase Inhibitor Development as Anti-influenza Drugs

    Enguang Feng;Deju Ye;Jian Li;Dengyou Zhang

  • In Silico target fishing: addressing a "Big Data" problem by ligand-based similarity rankings with data fusion.

    Xian Liu;Yuan Xu;Shanshan Li;Yulan Wang

Frequent Co-Authors

Hualiang Jiang
Hualiang Jiang Chinese Academy of Sciences
Kaixian Chen
Kaixian Chen Chinese Academy of Sciences
Xiaomin Luo
Xiaomin Luo Chinese Academy of Sciences
Cheng Luo
Cheng Luo Chinese Academy of Sciences
Hong Liu
Hong Liu Shandong University
Weiliang Zhu
Weiliang Zhu Chinese Academy of Sciences
Yulan Wang
Yulan Wang Nanyang Technological University
Lei Chen
Lei Chen Shanghai Maritime University
Yu-Dong Cai
Yu-Dong Cai Shanghai University
Meiyu Geng
Meiyu Geng Chinese Academy of Sciences

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