| admetSAR: a comprehensive source and free tool for assessment of chemical ADMET properties F Cheng, W Li, Y Zhou, J Shen, Z Wu, G Liu, PW Lee, Y Tang Journal of chemical information and modeling 52 (11), 3099-3105, 2012 | 1934 | 2012 |
| In Silico Prediction of Chemical Acute Oral Toxicity Using Multi-Classification Methods X Li, L Chen, F Cheng, Z Wu, H Bian, C Xu, W Li, G Liu, X Shen, Y Tang Journal of chemical information and modeling 54 (4), 1061-1069, 2014 | 191 | 2014 |
| Network-based methods for prediction of drug-target interactions Z Wu, W Li, G Liu, Y Tang Frontiers in pharmacology 9, 381369, 2018 | 170 | 2018 |
| In Silico Prediction of Blood–Brain Barrier Permeability of Compounds by Machine Learning and Resampling Methods Z Wang, H Yang, Z Wu, T Wang, W Li, Y Tang, G Liu ChemMedChem 13 (20), 2189-2201, 2018 | 147 | 2018 |
| SDTNBI: an integrated network and chemoinformatics tool for systematic prediction of drug–target interactions and drug repositioning Z Wu, F Cheng, J Li, W Li, G Liu, Y Tang Briefings in bioinformatics 18 (2), 333-347, 2017 | 146 | 2017 |
| Adverse Drug Events: Database Construction and in Silico Prediction F Cheng, W Li, X Wang, Y Zhou, Z Wu, J Shen, Y Tang Journal of chemical information and modeling 53 (4), 744-752, 2013 | 126 | 2013 |
| Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic Space F Cheng, W Li, Z Wu, X Wang, C Zhang, J Li, G Liu, Y Tang Journal of chemical information and modeling 53 (4), 753-762, 2013 | 103 | 2013 |
| Network-based identification of microRNAs as potential pharmacogenomic biomarkers for anticancer drugs J Li, K Lei, Z Wu, W Li, G Liu, J Liu, F Cheng, Y Tang Oncotarget 7 (29), 45584, 2016 | 90 | 2016 |
| In silico prediction of chemical mechanism of action via an improved network‐based inference method Z Wu, W Lu, D Wu, A Luo, H Bian, J Li, W Li, G Liu, J Huang, F Cheng, ... British Journal of Pharmacology 173 (23), 3372-3385, 2016 | 80 | 2016 |
| Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug–Target Interactions of Natural Products Enables New Targeted Cancer Therapy J Fang, Z Wu, C Cai, Q Wang, Y Tang, F Cheng Journal of chemical information and modeling 57 (11), 2657-2671, 2017 | 79 | 2017 |
| Computational prediction of microRNA networks incorporating environmental toxicity and disease etiology J Li, Z Wu, F Cheng, W Li, G Liu, Y Tang Scientific reports 4 (1), 5576, 2014 | 68 | 2014 |
| Evaluation of Different Methods for Identification of Structural Alerts Using Chemical Ames Mutagenicity Data Set as a Benchmark H Yang, J Li, Z Wu, W Li, G Liu, Y Tang Chemical research in toxicology 30 (6), 1355-1364, 2017 | 64 | 2017 |
| In silico prediction of hERG potassium channel blockage by chemical category approaches C Zhang, Y Zhou, S Gu, Z Wu, W Wu, C Liu, K Wang, G Liu, W Li, PW Lee, ... Toxicology Research 5 (2), 570-582, 2016 | 56 | 2016 |
| In Silico Estimation of Chemical Carcinogenicity with Binary and Ternary Classification Methods X Li, Z Du, J Wang, Z Wu, W Li, G Liu, X Shen, Y Tang Molecular Informatics 34 (4), 228-235, 2015 | 46 | 2015 |
| A computational systems pharmacology approach to investigate molecular mechanisms of herbal formula Tian-Ma-Gou-Teng-Yin for treatment of Alzheimer’s disease T Wang, Z Wu, L Sun, W Li, G Liu, Y Tang Frontiers in pharmacology 9, 375400, 2018 | 42 | 2018 |
| Insights into the molecular mechanisms of Polygonum multiflorum Thunb-induced liver injury: a computational systems toxicology approach Y Wang, J Li, Z Wu, B Zhang, H Yang, Q Wang, Y Cai, G Liu, W Li, Y Tang Acta Pharmacologica Sinica 38 (5), 719-732, 2017 | 38 | 2017 |
| Drug repurposing of histone deacetylase inhibitors that alleviate neutrophilic inflammation in acute lung injury and idiopathic pulmonary fibrosis via inhibiting leukotriene A4 … W Lu, X Yao, P Ouyang, N Dong, D Wu, X Jiang, Z Wu, C Zhang, Z Xu, ... Journal of Medicinal Chemistry 60 (5), 1817-1828, 2017 | 35 | 2017 |
| Quantitative and systems pharmacology 2. In silico polypharmacology of G protein-coupled receptor ligands via network-based approaches Z Wu, W Lu, W Yu, T Wang, W Li, G Liu, H Zhang, X Pang, J Huang, M Liu, ... Pharmacological research 129, 400-413, 2018 | 32 | 2018 |
| Drug repositioning by prediction of drug’s anatomical therapeutic chemical code via network-based inference approaches Y Peng, M Wang, Y Xu, Z Wu, J Wang, C Zhang, G Liu, W Li, J Li, Y Tang Briefings in bioinformatics 22 (2), 2058-2072, 2021 | 31 | 2021 |
| NetInfer: A web server for prediction of targets and therapeutic and adverse effects via network-based inference methods Z Wu, Y Peng, Z Yu, W Li, G Liu, Y Tang Journal of Chemical Information and Modeling 60 (8), 3687-3691, 2020 | 29 | 2020 |
Yun TangProfessor of Medicinal Chemistry, East China University of Science and Technology在 ecust.edu.cn 的电子邮件经过验证
