Articles with public access mandates - Hongbin YangLearn more
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Computational approaches to identify structural alerts and their applications in environmental toxicology and drug discovery
H Yang, C Lou, W Li, G Liu, Y Tang
Chemical Research in Toxicology 33 (6), 1312-1322, 2020
Mandates: National Natural Science Foundation of China
Insights into pesticide toxicity against aquatic organism: QSTR models on Daphnia Magna
L He, K Xiao, C Zhou, G Li, H Yang, Z Li, J Cheng
Ecotoxicology and environmental safety 173, 285-292, 2019
Mandates: National Natural Science Foundation of China
In silico prediction of chemical reproductive toxicity using machine learning
C Jiang, H Yang, P Di, W Li, Y Tang, G Liu
Journal of Applied Toxicology 39 (6), 844-854, 2019
Mandates: National Natural Science Foundation of China
In silico prediction of chemicals binding to aromatase with machine learning methods
H Du, Y Cai, H Yang, H Zhang, Y Xue, G Liu, Y Tang, W Li
Chemical Research in Toxicology 30 (5), 1209-1218, 2017
Mandates: National Natural Science Foundation of China
Study of the solution behavior of β-cyclodextrin amphiphilic polymer inclusion complex and the stability of its O/W emulsion
Y Ji, W Kang, L Meng, L Hu, H Yang
Colloids and Surfaces A: Physicochemical and Engineering Aspects 453, 117-124, 2014
Mandates: National Natural Science Foundation of China
In Silico Prediction of Endocrine Disrupting Chemicals Using Single-Label and Multilabel Models
L Sun, H Yang, Y Cai, W Li, G Liu, Y Tang
Journal of chemical information and modeling 59 (3), 973-982, 2019
Mandates: National Natural Science Foundation of China
Computational prediction of site of metabolism for UGT-catalyzed reactions
Y Cai, H Yang, W Li, G Liu, PW Lee, Y Tang
Journal of Chemical Information and Modeling 59 (3), 1085-1095, 2018
Mandates: National Natural Science Foundation of China
Applications of artificial intelligence in drug design: opportunities and challenges
M Thomas, A Boardman, M Garcia-Ortegon, H Yang, C de Graaf, ...
Artificial Intelligence in Drug Design, 1-59, 2022
Mandates: UK Biotechnology and Biological Sciences Research Council, Wellcome Trust
In Silico Prediction of Human Renal Clearance of Compounds Using Quantitative Structure-Pharmacokinetic Relationship Models
J Chen, H Yang, L Zhu, Z Wu, W Li, Y Tang, G Liu
Chemical Research in Toxicology 33 (2), 640-650, 2020
Mandates: National Natural Science Foundation of China
In silico estimation of chemical aquatic toxicity on crustaceans using chemical category methods
Q Cao, L Liu, H Yang, Y Cai, W Li, G Liu, PW Lee, Y Tang
Environmental Science: Processes & Impacts 20 (9), 1234-1243, 2018
Mandates: National Natural Science Foundation of China
Insights into mechanisms and severity of drug-induced liver injury via computational systems toxicology approach
Y Peng, Z Wu, H Yang, Y Cai, G Liu, W Li, Y Tang
Toxicology Letters 312, 22-33, 2019
Mandates: National Natural Science Foundation of China
Prediction of farnesoid X receptor disruptors with machine learning methods
Y Chen, H Yang, Z Wu, G Liu, Y Tang, W Li
Chemical Research in Toxicology 31 (11), 1128-1137, 2018
Mandates: National Natural Science Foundation of China
A dynamic scale location monitor method to predict oilfield blockage during water flooding
W Kang, T Wang, H Zhang, X Hou, X Zhang, T Zhu, C Chen, H Yang
Journal of Petroleum Science and Engineering 191, 107168, 2020
Mandates: National Natural Science Foundation of China
Multiclassification prediction of enzymatic reactions for oxidoreductases and hydrolases using reaction fingerprints and machine learning methods
Y Cai, H Yang, W Li, G Liu, PW Lee, Y Tang
Journal of Chemical Information and Modeling 58 (6), 1169-1181, 2018
Mandates: National Natural Science Foundation of China
IDL-PPBopt: a strategy for prediction and optimization of human plasma protein binding of compounds via an interpretable deep learning method
C Lou, H Yang, J Wang, M Huang, W Li, G Liu, PW Lee, Y Tang
Journal of Chemical Information and Modeling 62 (11), 2788-2799, 2022
Mandates: National Natural Science Foundation of China
In silico prediction of chemical aquatic toxicity by multiple machine learning and deep learning approaches
M Xu, H Yang, G Liu, Y Tang, W Li
Journal of Applied Toxicology 42 (11), 1766-1776, 2022
Mandates: National Natural Science Foundation of China
Discovery of natural products targeting NQO1 via an approach combining network-based inference and identification of privileged substructures
Z Wu, Q Wang, H Yang, J Wang, W Li, G Liu, Y Yang, Y Zhao, Y Tang
Journal of Chemical Information and Modeling 61 (5), 2486-2498, 2021
Mandates: National Natural Science Foundation of China
Prediction of the allergic mechanism of haptens via a reaction-substructure-compound-target-pathway network system
P Di, Z Wu, H Yang, W Li, Y Tang, G Liu
Toxicology Letters 317, 68-81, 2019
Mandates: National Natural Science Foundation of China
Effect of different molecular weight amphiphilic polymers on emulsifying behavior
X Zhang, H Yang, Z Zhu, P Wang, X Yin, C Cao, S Guo, W Kang
Petroleum Science and Technology 36 (19), 1544-1551, 2018
Mandates: National Natural Science Foundation of China
Oil-displacement characteristics and EOR mechanism of amphiphilic polymers with two molecular weights
X Zhang, H Yang, P Wang, S Guo, C Cao, C Chen, W Kang
SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2018
Mandates: National Natural Science Foundation of China
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