Tingjun Hou

发表

Improving Docking-Based Virtual Screening Ability by Integrating Multiple Energy Auxiliary Terms from Molecular Docking Scoring

Wenling Ye, Chao Shen, Guoli Xiong, 2020, J. Chem. Inf. Model..

P-loop Conformation Governed Crizotinib Resistance in G2032R-Mutated ROS1 Tyrosine Kinase: Clues from Free Energy Landscape

Tingjun Hou, Huiyong Sun, Youyong Li, 2014, PLoS Comput. Biol..

Concerted Movement in pH-Dependent Gating of FocA from Molecular Dynamics Simulations

Tingjun Hou, Youyong Li, Zhiwei Feng, 2012, J. Chem. Inf. Model..

Recent developments in computational prediction of HERG blockage.

Sichao Wang, Dan Li, Tingjun Hou, 2013, Current topics in medicinal chemistry.

Mapping the Binding Site of a Large Set of Quinazoline Type EGF-R Inhibitors Using Molecular Field Analyses and Molecular Docking Studies

Tingjun Hou, Lili Zhu, Xiaojie Xu, 2003, J. Chem. Inf. Comput. Sci..

Assessing the performance of the molecular mechanics/Poisson Boltzmann surface area and molecular mechanics/generalized Born surface area methods. II. The accuracy of ranking poses generated from docking

Tingjun Hou, Youyong Li, Junmei Wang, 2011, J. Comput. Chem..

Drug-likeness analysis of traditional Chinese medicines: prediction of drug-likeness using machine learning approaches.

Tingjun Hou, Youyong Li, Sheng Tian, 2012, Molecular pharmaceutics.

ADME Evaluation in Drug Discovery. 3. Modeling Blood-Brain Barrier Partitioning Using Simple Molecular Descriptors

Tingjun Hou, Xiaojie Xu, Tingjun Hou, 2003, J. Chem. Inf. Comput. Sci..

Feasibility of Using Molecular Docking-Based Virtual Screening for Searching Dual Target Kinase Inhibitors

Tingjun Hou, Youyong Li, Shunye Zhou, 2013, J. Chem. Inf. Model..

Combined strategies in structure-based virtual screening.

Tingjun Hou, Dongsheng Cao, Huiyong Sun, 2020, Physical chemistry chemical physics : PCCP.

Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power.

Dan Li, Tingjun Hou, Huiyong Sun, 2016, Physical chemistry chemical physics : PCCP.

A 3D Structure Database of Components from Chinese Traditional Medicinal Herbs

Tingjun Hou, Xiaojie Xu, Wei Zhang, 2002, J. Chem. Inf. Comput. Sci..

Identification and Preliminary SAR Analysis of Novel Type-I Inhibitors of TIE-2 via Structure-Based Virtual Screening and Biological Evaluation in in vitro Models

Tingjun Hou, Peichen Pan, Huiyong Sun, 2015, J. Chem. Inf. Model..

Comparative analyses of structural features and scaffold diversity for purchasable compound libraries

Hui Liu, Tingjun Hou, Jun Shang, 2017, Journal of Cheminformatics.

farPPI: a webserver for accurate prediction of protein-ligand binding structures for small-molecule PPI inhibitors by MM/PB(GB)SA methods

Feng Zhu, Yu Kang, Tingjun Hou, 2018, Bioinform..

Molecular docking studies of a group of hydroxamate inhibitors with gelatinase-A by molecular dynamics

Tingjun Hou, Xiaojie Xu, Wei Zhang, 2002, J. Comput. Aided Mol. Des..

In Silico Exploration for Novel Type-I Inhibitors of Tie-2/TEK: The Performance of Different Selection Strategy in Selecting Virtual Screening Candidates

Dan Li, Tingjun Hou, Peichen Pan, 2016, Scientific Reports.

Recent Advances in Protein-Protein Docking.

Dan Li, Tingjun Hou, Peichen Pan, 2016, Current drug targets.

Develop and Test a Solvent Accessible Surface Area-Based Model in Conformational Entropy Calculations

Tingjun Hou, Junmei Wang, Junmei Wang, 2012, J. Chem. Inf. Model..

Editorial [Hot topic: In Silico Predictions of ADME/T Properties: Progress and Challenges (Guest Editor: Tingjun Hou)]

Tingjun Hou, 2011 .

Modeling Compound-Target Interaction Network of Traditional Chinese Medicines for Type II Diabetes Mellitus: Insight for Polypharmacology and Drug Design

Qian Zhang, Tingjun Hou, Youyong Li, 2013, J. Chem. Inf. Model..

Discovery of Novel Androgen Receptor Ligands by Structure-based Virtual Screening and Bioassays

Shan Chang, Qin Tang, Lei Xu, 2018, Genom. Proteom. Bioinform..

Correction to Application of Molecular Dynamics Simulations in Molecular Property Prediction. 1. Density and Heat of Vaporization.

Tingjun Hou, Junmei Wang, 2011, Journal of chemical theory and computation.

3D QSAR Analyses of Novel Tyrosine Kinase Inhibitors Based on Pharmacophore Alignment

Tingjun Hou, Lili Zhu, Xiaojie Xu, 2001, J. Chem. Inf. Comput. Sci..

Prediction of peptides binding to the PKA RIIα subunit using a hierarchical strategy

Tingjun Hou, Youyong Li, Wei Wang, 2011, Bioinform..

ADME Evaluation in Drug Discovery. 2. Prediction of Partition Coefficient by Atom-Additive Approach Based on Atom-Weighted Solvent Accessible Surface Areas

Tingjun Hou, Xiaojie Xu, 2003, J. Chem. Inf. Comput. Sci..

Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions

Gaoang Wang, Lei Xu, Chao Shen, 2020, Briefings Bioinform..

MORT: a powerful foundational library for computational biology and CADD

Qian Zhang, Tingjun Hou, Youyong Li, 2014, Journal of Cheminformatics.

Fast and accurate prediction of partial charges using Atom-Path-Descriptor-based machine learning

Tingjun Hou, Dongsheng Cao, Huiyong Sun, 2020, Bioinform..

Computational Analysis and Prediction of the Binding Motif and Protein Interacting Partners of the Abl SH3 Domain

Ken Chen, Tingjun Hou, Benzhuo Lu, 2006, PLoS Comput. Biol..

On the detection of functionally coherent groups of protein domains with an extension to protein annotation

Ken Chen, Tingjun Hou, Wei Wang, 2007, BMC Bioinformatics.

Structural Analysis and Identification of False Positive Hits in Luciferase-Based Assays

Jie Dong, Aiping Lu, Tingjun Hou, 2020, J. Chem. Inf. Model..

Structure-Activity Relationships and Anti-inflammatory Activities of N-Carbamothioylformamide Analogues as MIF Tautomerase Inhibitors

Yu Zhang, Feng Liu, Zhiqiang Zhang, 2015, J. Chem. Inf. Model..

Drug-likeness analysis of traditional Chinese medicines: 2. Characterization of scaffold architectures for drug-like compounds, non-drug-like compounds, and natural compounds from traditional Chinese medicines

Lei Chen, Lei Xu, Tingjun Hou, 2013, Journal of Cheminformatics.

HawkRank: a new scoring function for protein–protein docking based on weighted energy terms

Feng Zhu, Hui Liu, Yu Kang, 2017, Journal of Cheminformatics.

ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches

Chao Shen, Tingjun Hou, Dongsheng Cao, 2019, J. Chem. Inf. Model..

Applications of Genetic Algorithms on the Structure-Activity Relationship Analysis of Some Cinnamamides

Tingjun Hou, Junmei Wang, Xiaojie Xu, 1999, J. Chem. Inf. Comput. Sci..

Computational Modeling Toward Understanding Agonist Binding on Dopamine 3

Tingjun Hou, Jian Zhang, Wei Fu, 2010, J. Chem. Inf. Model..

ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.

Dan Li, Tingjun Hou, Huiyong Sun, 2016, Molecular pharmaceutics.

Cheminformatic Insight into the Differences between Terrestrial and Marine Originated Natural Products

Yu Kang, Feng Zhu, Dan Li, 2018, J. Chem. Inf. Model..

Studies on the Interactions between β2 Adrenergic Receptor and Gs Protein by Molecular Dynamics Simulations

Tingjun Hou, Youyong Li, Zhiwei Feng, 2012, J. Chem. Inf. Model..

The application of in silico drug-likeness predictions in pharmaceutical research.

Dan Li, Tingjun Hou, Youyong Li, 2015, Advanced drug delivery reviews.

Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power

Feng Zhu, Lei Xu, Tingjun Hou, 2018, Briefings Bioinform..

From machine learning to deep learning: Advances in scoring functions for protein–ligand docking

Chao Shen, Junjie Ding, Tingjun Hou, 2019, WIREs Computational Molecular Science.

Allosite: a method for predicting allosteric sites

Yu Luo, Yanlong Zhao, Tingjun Hou, 2013, Bioinform..

ADMET Evaluation in Drug Discovery. 11. PharmacoKinetics Knowledge Base (PKKB): A Comprehensive Database of Pharmacokinetic and Toxic Properties for Drugs

Tingjun Hou, Youyong Li, Junmei Wang, 2012, J. Chem. Inf. Model..

Accelerated Conformational Entropy Calculations Using Graphic Processing Units

Qian Zhang, Tingjun Hou, Youyong Li, 2013, J. Chem. Inf. Model..

Platelet Aggregation Pathway Network-Based Approach for Evaluating Compounds Efficacy

Tingjun Hou, Youyong Li, Lirong Chen, 2013, Evidence-based complementary and alternative medicine : eCAM.

Structure-Based Design of Peptides against G3BP with Cytotoxicity on Tumor Cells

Wei Cui, Quan Chen, Jianhua Chen, 2010, J. Chem. Inf. Model..

Communication between the Ligand-Binding Pocket and the Activation Function-2 Domain of Androgen Receptor Revealed by Molecular Dynamics Simulations

Tingjun Hou, Huiyong Sun, Youyong Li, 2019, J. Chem. Inf. Model..

ADME Evaluation in Drug Discovery, 8. The Prediction of Human Intestinal Absorption by a Support Vector Machine

Tingjun Hou, Youyong Li, Junmei Wang, 2007, J. Chem. Inf. Model..

Drug-likeness analysis of traditional Chinese medicines: 1. property distributions of drug-like compounds, non-drug-like compounds and natural compounds from traditional Chinese medicines

Qian Li, Tingjun Hou, Youyong Li, 2012, Journal of Cheminformatics.

Comprehensive Evaluation of Fourteen Docking Programs on Protein-Peptide Complexes and A New Strategy for Improving the Performance of Global Docking.

Tingjun Hou, Dongsheng Cao, Xiaojun Yao, 2020, Journal of chemical theory and computation.

Unraveling the Allosteric Inhibition Mechanism of PTP1B by Free Energy Calculation Based on Umbrella Sampling

Wei Cui, Tingjun Hou, Lingling Geng, 2013, J. Chem. Inf. Model..

Insight into Crizotinib Resistance Mechanisms Caused by Three Mutations in ALK Tyrosine Kinase using Free Energy Calculation Approaches

Tingjun Hou, Huiyong Sun, Youyong Li, 2013, J. Chem. Inf. Model..

Editorial. In silico ADMET predictions in pharmaceutical research.

Tingjun Hou, 2015, Advanced drug delivery reviews.

ADME Evaluation in Drug Discovery. 4. Prediction of Aqueous Solubility Based on Atom Contribution Approach

Tingjun Hou, Xiaojie Xu, Wei Zhang, 2004, J. Chem. Inf. Model..

ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning

Tingjun Hou, Dongsheng Cao, Zhe Wang, 2020, Journal of Cheminformatics.

Aqueous Solubility Prediction Based on Weighted Atom Type Counts and Solvent Accessible Surface Areas

Tingjun Hou, Junmei Wang, Xiaojie Xu, 2009, J. Chem. Inf. Model..

A GPU based Conformational Entropy Calculation Method

Qian Zhang, Tingjun Hou, Junmei Wang, 2013, IWBBIO.

Molecular Dynamics Simulations Revealed the Regulation of Ligands to the Interactions between Androgen Receptor and Its Coactivator

Tingjun Hou, Huiyong Sun, Junmei Wang, 2018, J. Chem. Inf. Model..

Benchmark Study Based on 2P2IDB to Gain Insights into the Discovery of Small-Molecule PPI Inhibitors.

Yu Kang, Dan Li, Tingjun Hou, 2018, The journal of physical chemistry. B.

Assessing an Ensemble Docking-Based Virtual Screening Strategy for Kinase Targets by Considering Protein Flexibility

Tingjun Hou, Peichen Pan, Huiyong Sun, 2014, J. Chem. Inf. Model..

Molecular Principle of Topotecan Resistance by Topoisomerase I Mutations through Molecular Modeling Approaches

Tingjun Hou, Peichen Pan, Huiyong Sun, 2013, J. Chem. Inf. Model..

CaFE: a tool for binding affinity prediction using end-point free energy methods

Hui Liu, Tingjun Hou, Tingjun Hou, 2016, Bioinform..

Development and Evaluation of MM/GBSA Based on a Variable Dielectric GB Model for Predicting Protein-Ligand Binding Affinities

Yu Kang, Tingjun Hou, Huiyong Sun, 2020, J. Chem. Inf. Model..

A comparison of three heuristic algorithms for molecular docking

Tingjun Hou, Lirong Chen, Xiaojie Xu, 2002 .

Recent developments of in silico predictions of intestinal absorption and oral bioavailability.

Tingjun Hou, Youyong Li, Junmei Wang, 2009, Combinatorial chemistry & high throughput screening.

Three-Dimensional Quantitative Structure-Activity Relationship Analysis of the New Potent Sulfonylureas Using Comparative Molecular Similarity Indices Analysis

Z. Li, Tingjun Hou, J. Liu, 2000, J. Chem. Inf. Comput. Sci..

ADME Evaluation in Drug Discovery, 6. Can Oral Bioavailability in Humans Be Effectively Predicted by Simple Molecular Property-Based Rules?

Tingjun Hou, Junmei Wang, Xiaojie Xu, 2007, J. Chem. Inf. Model..

Theoretical Studies on the Susceptibility of Oseltamivir against Variants of 2009 A/H1N1 Influenza Neuraminidase

Lin Li, Tingjun Hou, Youyong Li, 2012, J. Chem. Inf. Model..

Drug and Drug Candidate Building Block Analysis

Tingjun Hou, Junmei Wang, Junmei Wang, 2010, J. Chem. Inf. Model..

ADME Evaluation in Drug Discovery. 2. Prediction of Partition Coefficient by Atom-Additive Approach Based on Atom-Weighted Solvent Accessible Surface Areas [J. Chem. Inf. Comput. Sci. 1058-1067(2003)]

Tingjun Hou, Xiaojie Xu, 2004, J. Chem. Inf. Model..

Constructing and Validating High-Performance MIEC-SVM Models in Virtual Screening for Kinases: A Better Way for Actives Discovery

Tingjun Hou, Peichen Pan, Huiyong Sun, 2016, Scientific Reports.

Using Hierarchical Virtual Screening To Combat Drug Resistance of the HIV-1 Protease

Bo Ding, Tingjun Hou, Nan Li, 2015, J. Chem. Inf. Model..

ADME Evaluation in Drug Discovery, 7. Prediction of Oral Absorption by Correlation and Classification

Tingjun Hou, Junmei Wang, Xiaojie Xu, 2007, J. Chem. Inf. Model..

ADME Evaluation in Drug Discovery. 3. Modeling Blood-Brain Barrier Partitioning Using Simple Molecular Descriptors [J. Chem. Inf. Comput. Sci. 43, 2137-2152 (2003)]

Tingjun Hou, Xiaojie Xu, Tingjun Hou, 2004, J. Chem. Inf. Model..

ADME Evaluation in Drug Discovery. 5. Correlation of Caco-2 Permeation with Simple Molecular Properties

Tingjun Hou, Xiaojie Xu, Wei Zhang, 2004, J. Chem. Inf. Model..

ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling

Tingjun Hou, Huiyong Sun, Youyong Li, 2016, Journal of Cheminformatics.

Development and Evaluation of an Integrated Virtual Screening Strategy by Combining Molecular Docking and Pharmacophore Searching Based on Multiple Protein Structures

Tingjun Hou, Peichen Pan, Huiyong Sun, 2013, J. Chem. Inf. Model..

Conformational analysis of peptides using Monte Carlo simulations combined with the genetic algorithm

Tingjun Hou, Xiaojie Xu, Junmei Wang, 1999 .

A rule-based algorithm for automatic bond type perception

Qian Zhang, Tingjun Hou, Youyong Li, 2012, Journal of Cheminformatics.

New Born Radii Deriving Method for Generalized Born Model

Tingjun Hou, Xiaojie Xu, Wei Zhang, 2005, J. Chem. Inf. Model..

Development of Reliable Aqueous Solubility Models and Their Application in Druglike Analysis

Tingjun Hou, Junmei Wang, George Krudy, 2007, J. Chem. Inf. Model..

Application of molecular dynamics simulations in molecular property prediction II: Diffusion coefficient

Tingjun Hou, Junmei Wang, Junmei Wang, 2011, J. Comput. Chem..

Assessing the Performance of the MM/PBSA and MM/GBSA Methods. 1. The Accuracy of Binding Free Energy Calculations Based on Molecular Dynamics Simulations

Tingjun Hou, Youyong Li, Junmei Wang, 2011, J. Chem. Inf. Model..

Systematic Modeling of logD7.4 Based on Ensemble Machine Learning, Group Contribution and Matched Molecular Pair Analysis.

Li Fu, Dong-Sheng Cao, Tingjun Hou, 2019, Journal of chemical information and modeling.

Some Basic Data Structures and Algorithms for Chemical Generic Programming

Tingjun Hou, Xiaojie Xu, Wei Zhang, 2004, J. Chem. Inf. Model..

Identification of active molecules against Mycobacterium tuberculosis through machine learning

Dan Li, Tingjun Hou, Xin Chai, 2021, Briefings Bioinform..

VAD-MM/GBSA: A Variable Atomic Dielectric MM/GBSA Model for Improved Accuracy in Protein-Ligand Binding Free Energy Calculations

Tingjun Hou, Huiyong Sun, Peng Tao, 2021, J. Chem. Inf. Model..

CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors

Dong-Sheng Cao, Dan Li, Tingjun Hou, 2020, Nucleic Acids Res..

Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method

Tingjun Hou, Zhenxing Wu, Chang-Yu Hsieh, 2021, Briefings Bioinform..

Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening?

Dan Li, Tingjun Hou, Jinping Pang, 2021, Briefings Bioinform..

Learning to SMILES: BAN-based strategies to improve latent representation learning from molecules

Tingjun Hou, Ai-Ping Lu, Zhi-Jiang Yang, 2021, Briefings Bioinform..

ASFP (Artificial Intelligence based Scoring Function Platform): a web server for the development of customized scoring functions

Gaoang Wang, Tingjun Hou, Gaoqi Weng, 2021, Journal of Cheminformatics.

QSAR-assisted-MMPA to expand chemical transformation space for lead optimization

Tingjun Hou, Ai-Ping Lu, Zhi-Jiang Yang, 2021, Briefings Bioinform..

BioMedR: an R/CRAN package for integrated data analysis pipeline in biomedical study

Dong-Sheng Cao, Tingjun Hou, Yong-Huan Yun, 2019, Briefings Bioinform..

PROTAC-DB: an online database of PROTACs

Dong-Sheng Cao, Dan Li, Tingjun Hou, 2020, Nucleic Acids Res..

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

Tingjun Hou, Zhenxing Wu, Chang-Yu Hsieh, 2021, Journal of Cheminformatics.

Additional file 1 of ASFP (Artificial Intelligence based Scoring Function Platform): a web server for the development of customized scoring functions

Tingjun Hou, Gaoqi Weng, Zhe Wang, 2021 .

PySmash: Python package and individual executable program for representative substructure generation and application

Tingjun Hou, Ai-Ping Lu, Zhi-Jiang Yang, 2021, Briefings Bioinform..

MG-BERT: leveraging unsupervised atomic representation learning for molecular property prediction

Dong-Sheng Cao, Tingjun Hou, Zhi-Jiang Yang, 2021, Briefings Bioinform..

Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning

Tingjun Hou, Benben Liao, Jike Wang, 2021, Nature Machine Intelligence.

Prediction of luciferase inhibitors by the high-performance MIEC-GBDT approach based on interaction energetic patterns.

Dan Li, Tingjun Hou, Huiyong Sun, 2017, Physical chemistry chemical physics : PCCP.

Importance of protein flexibility in molecular recognition: a case study on Type-I1/2 inhibitors of ALK.

Tingjun Hou, Peichen Pan, Huiyong Sun, 2018, Physical chemistry chemical physics : PCCP.

Combating Drug-Resistant Mutants of Anaplastic Lymphoma Kinase with Potent and Selective Type-I1/2 Inhibitors by Stabilizing Unique DFG-Shifted Loop Conformation

Dan Li, Tingjun Hou, Peichen Pan, 2017, ACS central science.

HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA

Dan Li, Tingjun Hou, Ercheng Wang, 2019, Nucleic Acids Res..

Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches.

Tingjun Hou, Peichen Pan, Huiyong Sun, 2018, Physical chemistry chemical physics : PCCP.

Assessing the performance of MM/PBSA and MM/GBSA methods. 5. Improved docking performance using high solute dielectric constant MM/GBSA and MM/PBSA rescoring.

Tingjun Hou, Peichen Pan, Huiyong Sun, 2014, Physical chemistry chemical physics : PCCP.

Importance of protein flexibility in ranking inhibitor affinities: modeling the binding mechanisms of piperidine carboxamides as Type I1/2 ALK inhibitors.

Dan Li, Tingjun Hou, Peichen Pan, 2015, Physical chemistry chemical physics : PCCP.

Discovery of selective phosphatidylinositol 3-kinase inhibitors to treat hematological malignancies.

Tingjun Hou, Jingyu Zhu, Tingjun Hou, 2015, Drug discovery today.

Structural Diversity of Ligand-Binding Androgen Receptors Revealed by Microsecond Long Molecular Dynamics Simulations and Enhanced Sampling.

Dan Li, Tingjun Hou, Minghui Yang, 2016, Journal of chemical theory and computation.

Discovery of a novel ROCK2 inhibitor with anti-migration effects via docking and high-content drug screening.

Tingjun Hou, Peichen Pan, Nana Ai, 2016, Molecular bioSystems.

Exploring the binding mechanisms of MIF to CXCR2 using theoretical approaches.

Dan Li, Tingjun Hou, Huiyong Sun, 2015, Physical chemistry chemical physics : PCCP.

Revealing the favorable dissociation pathway of type II kinase inhibitors via enhanced sampling simulations and two-end-state calculations

Dan Li, Tingjun Hou, Peichen Pan, 2015, Scientific Reports.

Discovery of Novel ROCK1 Inhibitors via Integrated Virtual Screening Strategy and Bioassays

Dan Li, Tingjun Hou, Peichen Pan, 2015, Scientific Reports.

Binding mechanisms of 1,4-dihydropyridine derivatives to L-type calcium channel Cav1.2: a molecular modeling study.

Dan Li, Tingjun Hou, Youyong Li, 2016, Molecular bioSystems.

Reliability of Docking-Based Virtual Screening for GPCR Ligands with Homology Modeled Structures: A Case Study of the Angiotensin II Type I Receptor.

Dan Li, Tingjun Hou, Shan Chang, 2018, ACS chemical neuroscience.

New Use for an Old Drug: Inhibiting ABCG2 with Sorafenib

Tingjun Hou, Hui Peng, Yan Li, 2012, Molecular Cancer Therapeutics.

Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking.

Dan Li, Tingjun Hou, Peichen Pan, 2016, Physical chemistry chemical physics : PCCP.

Advances in computationally modeling human oral bioavailability.

Tingjun Hou, Junmei Wang, Junmei Wang, 2015, Advanced drug delivery reviews.