Renxiao Wang
Orcid: 0000-0003-0485-0259
According to our database1,
Renxiao Wang
authored at least 35 papers
between 1996 and 2023.
Collaborative distances:
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Bibliography
2023
HydraMap v.2: Prediction of Hydration Sites and Desolvation Energy with Refined Statistical Potentials.
J. Chem. Inf. Model., August, 2023
2022
Analysis of the Binding Sites on BAX and the Mechanism of BAX Activators through Extensive Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2022
2021
2020
Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?
J. Chem. Inf. Model., 2020
J. Chem. Inf. Model., 2020
J. Chem. Inf. Model., 2020
Prediction of the Favorable Hydration Sites in a Protein Binding Pocket and Its Application to Scoring Function Formulation.
J. Chem. Inf. Model., 2020
2019
Revisiting the Relationship Between Correlation Coefficient, Confidence Level, and Sample Size.
J. Chem. Inf. Model., 2019
J. Chem. Inf. Model., 2019
2018
Nucleic Acids Res., 2018
TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility.
J. Comput. Chem., 2018
2017
Proposed Hydrogen-Bonding Index of Donor or Acceptor Reflecting Its Intrinsic Contribution to Hydrogen-Bonding Strength.
J. Chem. Inf. Model., July, 2017
Enhance the performance of current scoring functions with the aid of 3D protein-ligand interaction fingerprints.
BMC Bioinform., 2017
2016
AutoT&T v.2: An Efficient and Versatile Tool for Lead Structure Generation and Optimization.
J. Chem. Inf. Model., 2016
Bioinform., 2016
2015
Bioinform., 2015
2014
Comparative Assessment of Scoring Functions on an Updated Benchmark: 1. Compilation of the Test Set.
J. Chem. Inf. Model., 2014
Comparative Assessment of Scoring Functions on an Updated Benchmark: 2. Evaluation Methods and General Results.
J. Chem. Inf. Model., 2014
2013
Mining the Characteristic Interaction Patterns on Protein-Protein Binding Interfaces.
J. Chem. Inf. Model., 2013
2011
Automatic Tailoring and Transplanting: A Practical Method that Makes Virtual Screening More Useful.
J. Chem. Inf. Model., 2011
2010
J. Chem. Inf. Model., 2010
Evaluation of the performance of four molecular docking programs on a diverse set of protein-ligand complexes.
J. Comput. Chem., 2010
A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction.
BMC Bioinform., 2010
2009
Interpretation of the Binding Affinities of PTP1B Inhibitors with the MM-GB/SA Method and the X-Score Scoring Function.
J. Chem. Inf. Model., 2009
J. Chem. Inf. Model., 2009
2007
J. Chem. Inf. Model., 2007
Analysis of Ligand-Bound Water Molecules in High-Resolution Crystal Structures of Protein-Ligand Complexes.
J. Chem. Inf. Model., 2007
Computation of Octanol-Water Partition Coefficients by Guiding an Additive Model with Knowledge.
J. Chem. Inf. Model., 2007
2004
An Extensive Test of 14 Scoring Functions Using the PDBbind Refined Set of 800 Protein-Ligand Complexes.
J. Chem. Inf. Model., 2004
2002
Further development and validation of empirical scoring functions for structure-based binding affinity prediction.
J. Comput. Aided Mol. Des., 2002
2001
How Does Consensus Scoring Work for Virtual Library Screening? An Idealized Computer Experiment.
J. Chem. Inf. Comput. Sci., 2001
1997
J. Chem. Inf. Comput. Sci., 1997
1996
J. Chem. Inf. Comput. Sci., 1996