Xiang S. Wang

Orcid: 0000-0002-4156-3753

According to our database1, Xiang S. Wang authored at least 11 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep reinforcement learning enables better bias control in benchmark for virtual screening.
Comput. Biol. Medicine, 2024

2020
Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists.
J. Chem. Inf. Model., 2020

2018
Maximal Unbiased Benchmarking Data Sets for Human Chemokine Receptors and Comparative Analysis.
J. Chem. Inf. Model., 2018

2017
The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening.
J. Chem. Inf. Model., June, 2017

2015
Comparative Modeling and Benchmarking Data Sets for Human Histone Deacetylases and Sirtuin Families.
J. Chem. Inf. Model., 2015

2014
An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs.
J. Chem. Inf. Model., 2014

Application of Quantitative Structure-Activity Relationship Models of 5-HT<sub>1A</sub> Receptor Binding to Virtual Screening Identifies Novel and Potent 5-HT<sub>1A</sub> Ligands.
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.
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.
J. Chem. Inf. Model., 2009

2008
Combinatorial QSAR Modeling of Specificity and Subtype Selectivity of Ligands Binding to Serotonin Receptors 5HT1E and 5HT1F.
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.
J. Comput. Aided Mol. Des., 2008


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