admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties
H Yang, C Lou, L Sun, J Li, Y Cai, Z Wang, W Li, G Liu, Y Tang
– Bioinformatics
(2018)
35,
Identification of Nontoxic Substructures: A New Strategy to Avoid Potential Toxicity Risk.
H Yang, L Sun, W Li, G Liu, Y Tang
– Toxicological Sciences
(2018)
165,
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
(2018)
58,
Corrigendum: In silico prediction of chemical toxicity for drug design using machine learning methods and structural alerts [Front. Chem., 6, 30, (2018)] doi: 10.3389/fchem.2018.00030
H Yang, L Sun, W Li, G Liu, Y Tang
– Frontiers in Chemistry
(2018)
6,
In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.
H Yang, L Sun, W Li, G Liu, Y Tang
– Frontiers in Chemistry
(2018)
6,
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 and Impacts
(2018)
20,
In silico prediction of chemical genotoxicity using machine learning methods and structural alerts.
D Fan, H Yang, F Li, L Sun, P Di, W Li, Y Tang, G Liu
– Toxicology research
(2017)
7,
In Silico Prediction of Compounds Binding to Human Plasma Proteins by QSAR Models
L Sun, H Yang, J Li, T Wang, W Li, G Liu, Y Tang
– ChemMedChem
(2017)
13,
In silico prediction of pesticide aquatic toxicity with chemical category approaches.
F Li, D Fan, H Wang, H Yang, W Li, Y Tang, G Liu
– Toxicology research
(2017)
6,
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
(2017)
30,
