Y. Xue

发表

Prediction of acetylcholinesterase inhibitors and characterization of correlative molecular descriptors by machine learning methods.

Wei-Ke Lv, Y. Xue, Ying Xue, 2010, European journal of medicinal chemistry.

Prediction of P-Glycoprotein Substrates by a Support Vector Machine Approach

J. F. Wang, Zhi-Wei Cao, Yu Zong Chen, 2004, J. Chem. Inf. Model..

Integration of Ligand-Based and Structure-Based Approaches for Virtual Screening of Factor Xa Inhibitors

Ying Xue, Xue-Gang Yang, Duan Chen, 2012 .

In silico prediction and screening of γ‐secretase inhibitors by molecular descriptors and machine learning methods

Xue-Gang Yang, Wei Lv, Yu-Zong Chen, 2009, J. Comput. Chem..

Modeling, predicting and virtual screening of selective inhibitors of MMP-3 and MMP-9 over MMP-1 using random forest classification

Yu Zong Chen, Bing He, Bing-Ke Li, 2015 .

Prediction of matrix metal proteinases-12 inhibitors by machine learning approaches

Min Yang, Li Hu, Ying Xue, 2018, Journal of biomolecular structure & dynamics.

Evaluation of Virtual Screening Performance of Support Vector Machines Trained by Sparsely Distributed Active Compounds

Boon Chuan Low, Yu Zong Chen, Ying Xue, 2008, J. Chem. Inf. Model..

Effect of Molecular Descriptor Feature Selection in Support Vector Machine Classification of Pharmacokinetic and Toxicological Properties of Chemical Agents

Xin Chen, Ze-Rong Li, Yu Zong Chen, 2004, J. Chem. Inf. Model..

Quantitative structure–activity relationship study of influenza virus neuraminidase A/PR/8/34 (H1N1) inhibitors by genetic algorithm feature selection and support vector regression

Ying Xue, Xue-Gang Yang, Bing-Ke Li, 2013 .

Effect of Selection of Molecular Descriptors on the Prediction of Blood-Brain Barrier Penetrating and Nonpenetrating Agents by Statistical Learning Methods

Zhi-Wei Cao, Yu Zong Chen, Ying Xue, 2005, J. Chem. Inf. Model..

Identification of vasodilators from molecular descriptors by machine learning methods

Ying Xue, Xue-Gang Yang, Yong Cong, 2010 .

Prediction of novel and selective TNF-alpha converting enzyme (TACE) inhibitors and characterization of correlative molecular descriptors by machine learning approaches.

Wei Lv, Ying Xue, Xue-Gang Yang, 2009, Journal of molecular graphics & modelling.

Prediction of antibacterial compounds by machine learning approaches

Min Wang, Duan Chen, Yu Zong Chen, 2009, J. Comput. Chem..

Identifying hERG Potassium Channel Inhibitors by Machine Learning Methods

Ying Xue, Min Wang, Xue-Gang Yang, 2008 .

Effect of training data size and noise level on support vector machines virtual screening of genotoxic compounds from large compound libraries

Jia Jia, Ze-Rong Li, Bu-Cong Han, 2011, J. Comput. Aided Mol. Des..

In silico prediction of spleen tyrosine kinase inhibitors using machine learning approaches and an optimized molecular descriptor subset generated by recursive feature elimination method

Ying Xue, Xue-Gang Yang, Yong Cong, 2013, Comput. Biol. Medicine.