Comparison of Cellular Morphological Descriptors and Molecular Fingerprints for the Prediction of Cytotoxicity- and Proliferation-Related Assays.
S Seal, H Yang, L Vollmers, A Bender
– Chemical Research in Toxicology
(2021)
34,
Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure
A Liu, M Walter, P Wright, A Bartosik, D Dolciami, A Elbasir, H Yang, A Bender
– Biology direct
(2021)
16,
Insights into the synergistic mechanism of target resistance: A case study of N. lugens RDL-GABA receptors and fipronil.
T Li, C Zhou, N Zheng, H Yang, G Kuang, X Shao, Z Li, J Cheng
– Biophys Chem
(2020)
265,
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
– Chem Res Toxicol
(2020)
33,
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
(2020)
33,
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
(2019)
317,
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
(2019)
312,
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
(2019)
173,
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
(2019)
59,
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 : JAT
(2019)
39,
