Xiang S. Wang

According to our database, Xiang S. Wang authored at least 10 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists.

Jie Xia, Zhenyi Wang, Yi Huan, Wenjie Xue, Xing Wang, Yuxi Wang, Zhenming Liu, Jui-Hua Hsieh, Liangren Zhang, Song Wu, Zhufang Shen, Hongmin Zhang, Xiang Simon Wang

J. Chem. Inf. Model., 2020

2018

Maximal Unbiased Benchmarking Data Sets for Human Chemokine Receptors and Comparative Analysis.

Jie Xia, Terry-Elinor Reid, Song Wu, Liangren Zhang, Xiang Simon Wang

J. Chem. Inf. Model., 2018

2017

The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening.

Jie Xia, Jui-Hua Hsieh, Huabin Hu, Song Wu, Xiang Simon Wang

J. Chem. Inf. Model., June, 2017

2015

Comparative Modeling and Benchmarking Data Sets for Human Histone Deacetylases and Sirtuin Families.

Jie Xia, Ermias Lemma Tilahun, Eyob Hailu Kebede, Terry-Elinor Reid, Liang Ren Zhang, Xiang Simon Wang

J. Chem. Inf. Model., 2015

2014

An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs.

Jie Xia, Hongwei Jin, Zhenming Liu, Liang Ren Zhang, Xiang Simon Wang

J. Chem. Inf. Model., 2014

Application of Quantitative Structure-Activity Relationship Models of 5-HT_1A Receptor Binding to Virtual Screening Identifies Novel and Potent 5-HT_1A Ligands.

Man Luo, Xiang Simon Wang, Bryan L. Roth, Alexander Golbraikh, Alexander Tropsha

J. Chem. Inf. Model., 2014

2012

Cheminformatics Meets Molecular Mechanics: A Combined Application of Knowledge-Based Pose Scoring and Physical Force Field-Based Hit Scoring Functions Improves the Accuracy of Structure-Based Virtual Screening.

Jui-Hua Hsieh, Shuangye Yin, Xiang S. Wang, Shubin Liu, Nikolay V. Dokholyan, Alexander Tropsha

J. Chem. Inf. Model., 2012

2009

Novel Inhibitors of Human Histone Deacetylase (HDAC) Identified by QSAR Modeling of Known Inhibitors, Virtual Screening, and Experimental Validation.

Hao Tang, Xiang S. Wang, Xi-Ping Huang, Bryan L. Roth, Kyle V. Butler, Alan P. Kozikowski, Mira Jung, Alexander Tropsha

J. Chem. Inf. Model., 2009

2008

Combinatorial QSAR Modeling of Specificity and Subtype Selectivity of Ligands Binding to Serotonin Receptors 5HT1E and 5HT1F.

Xiang S. Wang, Hao Tang, Alexander Golbraikh, Alexander Tropsha

J. Chem. Inf. Model., 2008

Differentiation of AmpC beta-lactamase binders vs. decoys using classification <i>k</i> NN QSAR modeling and application of the QSAR classifier to virtual screening.

Jui-Hua Hsieh, Xiang S. Wang, Denise G. Teotico, Alexander Golbraikh, Alexander Tropsha

J. Comput. Aided Mol. Des., 2008