World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12409
World Ranking
6710
National Ranking
900

Overview

Yun Tang is affiliated with East China University of Science and Technology in China, with a research portfolio spanning over 230 publications. Their work primarily intersects the fields of computer science and biochemistry, genetics, and molecular biology. Tang's expertise covers a range of subfields, including molecular biology, computational theory and mathematics, pharmacology, artificial intelligence, and spectroscopy.

The scientist's research topics emphasize computational approaches within drug discovery and pharmacology. They have contributed extensively to areas such as computational drug discovery methods, pharmacogenetics and drug metabolism, analytical chemistry and chromatography, metabolomics and mass spectrometry studies, natural language processing techniques, speech recognition and synthesis, and machine learning applications in materials science.

Frequent publication venues for Tang include:

  • Journal of Chemical Information and Modeling
  • arXiv (Cornell University)
  • Chemical Research in Toxicology
  • Briefings in Bioinformatics
  • SSRN Electronic Journal

Key recent publications include:

  • "CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity," 2020, Environmental Health Perspectives
  • "CATMoS: Collaborative Acute Toxicity Modeling Suite," 2021, Environmental Health Perspectives
  • "admetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties," 2024, Nucleic Acids Research
  • "Computational Approaches to Identify Structural Alerts and Their Applications in Environmental Toxicology and Drug Discovery," 2020, Chemical Research in Toxicology
  • "MedChatZH: A tuning LLM for traditional Chinese medicine consultations," 2024, Computers in Biology and Medicine

Tang collaborates frequently with several researchers, including Weihua Li, Guixia Liu, Zengrui Wu, Yimeng Wang, and Chaofeng Lou. These collaborations have contributed to a substantial body of work focusing on chemical informatics, toxicology modeling, and biomedical computational methods.

Best Publications

  • admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties.

    Feixiong Cheng;Weihua Li;Yadi Zhou;Jie Shen

  • admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties

    Hongbin Yang;Chaofeng Lou;Lixia Sun;Jie Li

  • Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

    Feixiong Cheng;Chuang Liu;Jing Jiang;Weiqiang Lu

  • ADMET-score - a comprehensive scoring function for evaluation of chemical drug-likeness.

    Longfei Guan;Hongbin Yang;Yingchun Cai;Lixia Sun

  • Estimation of ADME properties with substructure pattern recognition.

    Jie Shen;Feixiong Cheng;You Xu;Weihua Li

  • In silico ADMET prediction: recent advances, current challenges and future trends.

    Feixiong Cheng;Weihua Li;Guixia Liu;Yun Tang

  • In silico Prediction of Chemical Ames Mutagenicity

    Congying Xu;Feixiong Cheng;Lei Chen;Zheng Du

  • In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.

    Hongbin Yang;Lixia Sun;Weihua Li;Guixia Liu

  • Network-Based Methods for Prediction of Drug-Target Interactions.

    Zengrui Wu;Weihua Li;Guixia Liu;Yun Tang

  • Classification of cytochrome P450 inhibitors and noninhibitors using combined classifiers.

    Feixiong Cheng;Yue Yu;Jie Shen;Lei Yang

  • CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.

    Kamel Mansouri;Nicole Kleinstreuer;Ahmed M. Abdelaziz;Domenico Alberga

  • In Silico Prediction of Chemical Acute Oral Toxicity Using Multi-Classification Methods

    Xiao Li;Lei Chen;Feixiong Cheng;Zengrui Wu

  • In Silico Prediction of Blood–Brain Barrier Permeability of Compounds by Machine Learning and Resampling Methods

    Zhuang Wang;Hongbin Yang;Zengrui Wu;Tianduanyi Wang

  • New technologies in computer-aided drug design: Toward target identification and new chemical entity discovery.

    Yun Tang;Weiliang Zhu;Kaixian Chen;Hualiang Jiang;Hualiang Jiang

  • Performance Evaluation of 2D Fingerprint and 3D Shape Similarity Methods in Virtual Screening

    Guoping Hu;Guanglin Kuang;Wen Xiao;Weihua Li

  • SDTNBI: an integrated network and chemoinformatics tool for systematic prediction of drug–target interactions and drug repositioning

    Zengrui Wu;Feixiong Cheng;Jie Li;Weihua Li

  • Prediction of chemical–protein interactions: multitarget-QSAR versus computational chemogenomic methods

    Feixiong Cheng;Yadi Zhou;Jie Li;Weihua Li

  • Adverse drug events: database construction and in silico prediction.

    Feixiong Cheng;Weihua Li;Xichuan Wang;Yadi Zhou

  • CATMoS: Collaborative Acute Toxicity Modeling Suite.

    Kamel Mansouri;Agnes L. Karmaus;Jeremy Fitzpatrick;Grace Patlewicz

  • In silico assessment of chemical biodegradability.

    Feixiong Cheng;Yutaka Ikenaga;Yadi Zhou;Yue Yu

  • Prediction of Chemical-Protein Interactions Network with Weighted Network-Based Inference Method

    Feixiong Cheng;Yadi Zhou;Weihua Li;Guixia Liu

Frequent Co-Authors

Weihua Li
Weihua Li East China University of Science and Technology
Feixiong Cheng
Feixiong Cheng Case Western Reserve University
Hualiang Jiang
Hualiang Jiang Chinese Academy of Sciences
Xu Shen
Xu Shen Nanjing University of Chinese Medicine
Yong-Tang Zheng
Yong-Tang Zheng Kunming Institute of Zoology
Eugene N. Muratov
Eugene N. Muratov University of North Carolina at Chapel Hill
Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill
Anton Simeonov
Anton Simeonov National Institutes of Health
Sean Ekins
Sean Ekins University of Arizona
Thomas Hartung
Thomas Hartung Johns Hopkins University

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