Tingjun Hou
Zhejiang Normal University(CN)Dalian Institute of Chemical Physics(CN)Chinese Academy of Sciences(CN)Dalle Molle Institute for Artificial Intelligence Research(CH)Jinhua Academy of Agricultural Sciences(CN)Zhejiang Lab(CN)Zhejiang Pharmaceutical College(CN)Pharmaceutical Biotechnology (Czechia)(CZ)Artificial Intelligence in Medicine (Canada)(CA)First Affiliated Hospital Zhejiang University(CN)Zhejiang University of Technology(CN)Zhejiang University(CN)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Protein Structure and Dynamics, Machine Learning in Materials Science, Chemical Synthesis and Analysis, Receptor Mechanisms and Signaling
Most-Cited Works
- → Assessing the Performance of the MM/PBSA and MM/GBSA Methods. 1. The Accuracy of Binding Free Energy Calculations Based on Molecular Dynamics Simulations(2010)2,655 cited
- → ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties(2021)2,540 cited
- → End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design(2019)2,023 cited
- → Comprehensive evaluation of ten docking programs on a diverse set of protein–ligand complexes: the prediction accuracy of sampling power and scoring power(2016)939 cited
- → ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support(2024)793 cited
- → 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