Xiaoqin Zou

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2024 J jnl
Docking strategies for predicting protein-ligand interactions and their application to structure-based drug design.
Commun. Inf. Syst.
Zhiwei Ma, Abeeb Ajibade, Xiaoqin Zou
2022 J jnl
Predicting Protein-Peptide Complex Structures by Accounting for Peptide Flexibility and the Physicochemical Environment.
J. Chem. Inf. Model.
Xianjin Xu, Xiaoqin Zou
2021 J jnl
Carbohydrate-protein interactions: advances and challenges.
Commun. Inf. Syst.
Shuang Zhang, Kyle Yu Chen, Xiaoqin Zou
2020 J jnl
PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide-Protein Computational Docking.
J. Comput. Chem.
Xianjin Xu, Xiaoqin Zou
2020 J jnl
Scoring functions for protein-RNA complex structure prediction: advances, applications, and future directions.
Commun. Inf. Syst.
Liming Qiu, Xiaoqin Zou
2019 J jnl
Predicting protein-ligand binding modes for CELPP and GC3: workflows and insight.
J. Comput. Aided Mol. Des.
Xianjin Xu, Zhiwei Ma, Rui Duan, Xiaoqin Zou
2018 J jnl
Lessons learned from participating in D3R 2016 Grand Challenge 2: compounds targeting the farnesoid X receptor.
J. Comput. Aided Mol. Des.
Rui Duan, Xianjin Xu, Xiaoqin Zou
2018 J jnl
MDockPeP: An ab-initio protein-peptide docking server.
J. Comput. Chem.
Xianjin Xu, Chengfei Yan, Xiaoqin Zou
2017 J jnl
Improving binding mode and binding affinity predictions of docking by ligand-based search of protein conformations: evaluation in D3R grand challenge 2015.
J. Comput. Aided Mol. Des.
Xianjin Xu, Chengfei Yan, Xiaoqin Zou
2016 J jnl
Iterative Knowledge-Based Scoring Functions Derived from Rigid and Flexible Decoy Structures: Evaluation with the 2013 and 2014 CSAR Benchmarks.
J. Chem. Inf. Model.
Chengfei Yan, Sam Z. Grinter, Benjamin Ryan Merideth, Zhiwei Ma, Xiaoqin Zou
2016 J jnl
SM-TF: A structural database of small molecule-transcription factor complexes.
J. Comput. Chem.
Xianjin Xu, Zhiwei Ma, Hongmin Sun, Xiaoqin Zou
2015 J jnl
Predicting peptide binding sites on protein surfaces by clustering chemical interactions.
J. Comput. Chem.
Chengfei Yan, Xiaoqin Zou
2014 J jnl
A Bayesian statistical approach of improving knowledge-based scoring functions for protein-ligand interactions.
J. Comput. Chem.
Sam Z. Grinter, Xiaoqin Zou
2013 J jnl
A nonredundant structure dataset for benchmarking protein-RNA computational docking.
J. Comput. Chem.
Sheng-You Huang, Xiaoqin Zou
2013 J jnl
Automated Large-Scale File Preparation, Docking, and Scoring: Evaluation of ITScore and STScore Using the 2012 Community Structure-Activity Resource Benchmark.
J. Chem. Inf. Model.
Sam Z. Grinter, Chengfei Yan, Sheng-You Huang, Lin Jiang, Xiaoqin Zou
2011 J jnl
Construction and Test of Ligand Decoy Sets Using MDock: Community Structure-Activity Resource Benchmarks for Binding Mode Prediction.
J. Chem. Inf. Model.
Sheng-You Huang, Xiaoqin Zou
2011 J jnl
Scoring and Lessons Learned with the CSAR Benchmark Using an Improved Iterative Knowledge-Based Scoring Function.
J. Chem. Inf. Model.
Sheng-You Huang, Xiaoqin Zou
2010 J jnl
Inclusion of Solvation and Entropy in the Knowledge-Based Scoring Function for Protein-Ligand Interactions.
J. Chem. Inf. Model.
Sheng-You Huang, Xiaoqin Zou
2006 J jnl
An iterative knowledge-based scoring function to predict protein-ligand interactions: I. Derivation of interaction potentials.
J. Comput. Chem.
Sheng-You Huang, Xiaoqin Zou
2006 J jnl
An iterative knowledge-based scoring function to predict protein-ligand interactions: II. Validation of the scoring function.
J. Comput. Chem.
Sheng-You Huang, Xiaoqin Zou