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Tingjun Hou

Researcher Next ID · RN-023855

Researcher · Computer Science

Zhejiang Normal University

Jinhua, Czechia

Not currently recruitingFunding unknown
Works count
697
Citation count
42,538
H-index
96
i10-index
468

Research interests

Computer Science
Biochemistry, Genetics and Molecular Biology
Materials Science
Computational Drug Discovery Methods
Protein Structure and Dynamics
Machine Learning in Materials Science
Chemical Synthesis and Analysis
Receptor Mechanisms and Signaling

Publications

  • ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support

    Nucleic Acids Research · 2024 · https://doi.org/10.1093/nar/gkae236

  • InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions

    Journal of Medicinal Chemistry · 2021 · 10.1021/acs.jmedchem.1c01830

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

    Journal of Cheminformatics · 2021 · https://doi.org/10.1186/s13321-020-00479-8

  • A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

    Nature Communications · 2021 · 10.1038/s41467-021-27137-3

  • ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties

    Nucleic Acids Research · 2021 · https://doi.org/10.1093/nar/gkab255

  • PROTAC-DB: an online database of PROTACs

    Nucleic Acids Research · 2020 · 10.1093/nar/gkaa807

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

    Wiley Interdisciplinary Reviews Computational Molecular Science · 2019 · 10.1002/wcms.1429

  • End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design

    Chemical Reviews · 2019 · https://doi.org/10.1021/acs.chemrev.9b00055

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

    Nucleic Acids Research · 2019 · 10.1093/nar/gkz397

  • Janus Structures of Transition Metal Dichalcogenides as the Heterojunction Photocatalysts for Water Splitting

    The Journal of Physical Chemistry C · 2018 · 10.1021/acs.jpcc.7b11584

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

    Physical Chemistry Chemical Physics · 2018 · 10.1039/c7cp07623a

  • 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

    Physical Chemistry Chemical Physics · 2016 · 10.1039/c6cp03670h

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

    Physical Chemistry Chemical Physics · 2016 · https://doi.org/10.1039/c6cp01555g

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

    Advanced Drug Delivery Reviews · 2015 · 10.1016/j.addr.2015.01.009

  • 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

    Physical Chemistry Chemical Physics · 2014 · 10.1039/c4cp03179b

  • Assessing the performance of MM/PBSA and MM/GBSA methods. 4. Accuracies of MM/PBSA and MM/GBSA methodologies evaluated by various simulation protocols using PDBbind data set

    Physical Chemistry Chemical Physics · 2014 · 10.1039/c4cp01388c

  • Allosite: a method for predicting allosteric sites

    Bioinformatics · 2013 · 10.1093/bioinformatics/btt399

  • Assessing the Performance of MM/PBSA and MM/GBSA Methods. 3. The Impact of Force Fields and Ligand Charge Models

    The Journal of Physical Chemistry B · 2013 · 10.1021/jp404160y

  • 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

    Journal of Computational Chemistry · 2010 · 10.1002/jcc.21666

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

    Journal of Chemical Information and Modeling · 2010 · 10.1021/ci100275a

  • Molecular Dynamics and Free Energy Studies on the Wild-type and Double Mutant HIV-1 Protease Complexed with Amprenavir and Two Amprenavir-Related Inhibitors: Mechanism for Binding and Drug Resistance

    Journal of Medicinal Chemistry · 2007 · 10.1021/jm0609162

  • Recent Advances in Free Energy Calculations with a Combination of Molecular Mechanics and Continuum Models

    Current Computer - Aided Drug Design · 2006 · 10.2174/157340906778226454

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

    Journal of Chemical Information and Modeling · 2006 · 10.1021/ci600343x

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

    Journal of Chemical Information and Computer Sciences · 2003 · 10.1021/ci034184n

  • ADME evaluation in drug discovery

    Journal of Molecular Modeling · 2002 · 10.1007/s00894-002-0101-1

Current projects

    No projects listed.