John Z. H. Zhang

Orcid: 0000-0003-4612-1863

According to our database1, John Z. H. Zhang authored at least 43 papers between 2003 and 2023.

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Bibliography

2023
Screening Power of End-Point Free-Energy Calculations in Cucurbituril Host-Guest Systems.
J. Chem. Inf. Model., November, 2023

Combined Antibodies Evusheld against the SARS-CoV-2 Omicron Variants BA.1.1 and BA.5: Immune Escape Mechanism from Molecular Simulation.
J. Chem. Inf. Model., August, 2023

MolTaut: A Tool for the Rapid Generation of Favorable Tautomer in Aqueous Solution.
J. Chem. Inf. Model., April, 2023

Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening.
J. Chem. Inf. Model., February, 2023

2022
HergSPred: Accurate Classification of hERG Blockers/Nonblockers with Machine-Learning Models.
J. Chem. Inf. Model., 2022

AA-Score: a New Scoring Function Based on Amino Acid-Specific Interaction for Molecular Docking.
J. Chem. Inf. Model., 2022

HobPre: accurate prediction of human oral bioavailability for small molecules.
J. Cheminformatics, 2022

Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host-guest binding: I. Standard procedure.
J. Comput. Aided Mol. Des., 2022

Comprehensive evaluation of end-point free energy techniques in carboxylated-pillar[6]arene host-guest binding: II. regression and dielectric constant.
J. Comput. Aided Mol. Des., 2022

Generating and screening <i>de novo</i> compounds against given targets using ultrafast deep learning models as core components.
Briefings Bioinform., 2022

2021
Automated Construction of Neural Network Potential Energy Surface: The Enhanced Self-Organizing Incremental Neural Network Deep Potential Method.
J. Chem. Inf. Model., 2021

MolGpka: A Web Server for Small Molecule pKa Prediction Using a Graph-Convolutional Neural Network.
J. Chem. Inf. Model., 2021

Anchor-Locker Binding Mechanism of the Coronavirus Spike Protein to Human ACE2: Insights from Computational Analysis.
J. Chem. Inf. Model., 2021

DeepBSP - a Machine Learning Method for Accurate Prediction of Protein-Ligand Docking Structures.
J. Chem. Inf. Model., 2021

2020
DenseCPD: Improving the Accuracy of Neural-Network-Based Computational Protein Sequence Design with DenseNet.
J. Chem. Inf. Model., 2020

Development of a New Scoring Function for Virtual Screening: APBScore.
J. Chem. Inf. Model., 2020

Determining Optimal Coarse-Grained Representation for Biomolecules Using Internal Cluster Validation Indexes.
J. Comput. Chem., 2020

2019
Accurate and Efficient Calculation of Protein-Protein Binding Free Energy-Interaction Entropy with Residue Type-Specific Dielectric Constants.
J. Chem. Inf. Model., 2019

Study of SHMT2 Inhibitors and Their Binding Mechanism by Computational Alanine Scanning.
J. Chem. Inf. Model., 2019

DeepDDG: Predicting the Stability Change of Protein Point Mutations Using Neural Networks.
J. Chem. Inf. Model., 2019

BAR-based optimum adaptive steered MD for configurational sampling.
J. Comput. Chem., 2019

Calculation of hot spots for protein-protein interaction in p53/PMI-MDM2/MDMX complexes.
J. Comput. Chem., 2019

Neural Network Based in Silico Simulation of Combustion Reactions.
CoRR, 2019

2018
Electrostatic Polarization Effect on Cooperative Aggregation of Full Length Human Islet Amyloid.
J. Chem. Inf. Model., 2018

2017
Protein-Ligand Empirical Interaction Components for Virtual Screening.
J. Chem. Inf. Model., August, 2017

Interaction Entropy for Computational Alanine Scanning.
J. Chem. Inf. Model., 2017

Evaluation of the Coupled Two-Dimensional Main Chain Torsional Potential in Modeling Intrinsically Disordered Proteins.
J. Chem. Inf. Model., 2017

2016
A Semiautomated Structure-Based Method To Predict Substrates of Enzymes via Molecular Docking: A Case Study with <i>Candida antarctica</i> Lipase B.
J. Chem. Inf. Model., 2016

PBSA_E: A PBSA-Based Free Energy Estimator for Protein-Ligand Binding Affinity.
J. Chem. Inf. Model., 2016

A new algorithm for construction of coarse-grained sites of large biomolecules.
J. Comput. Chem., 2016

2015
A Comparative Insight into Amprenavir Resistance of Mutations V32I, G48V, I50V, I54V, and I84V in HIV-1 Protease Based on Thermodynamic Integration and MM-PBSA Methods.
J. Chem. Inf. Model., 2015

2014
Accessing the applicability of polarized protein-specific charge in linear interaction energy analysis.
J. Comput. Chem., 2014

2013
Improving the Scoring of Protein-Ligand Binding Affinity by Including the Effects of Structural Water and Electronic Polarization.
J. Chem. Inf. Model., 2013

The F130L mutation in streptavidin reduces its binding affinity to biotin through electronic polarization effect.
J. Comput. Chem., 2013

A numerically stable restrained electrostatic potential charge fitting method.
J. Comput. Chem., 2013

Molecular dynamics study of DNA binding by INT-DBD under a polarized force field.
J. Comput. Chem., 2013

2012
Electrostatic polarization is critical for the strong binding in streptavidin-biotin system.
J. Comput. Chem., 2012

Effect of interprotein polarization on protein-protein binding energy.
J. Comput. Chem., 2012

2010
Class I Phospho-inositide-3-kinases (PI3Ks) Isoform-Specific Inhibition Study by the Combination of Docking and Molecular Dynamics Simulation.
J. Chem. Inf. Model., 2010

2009
Global dynamics and transition state theories: Comparative study of reaction rate constants for gas-phase chemical reactions.
J. Comput. Chem., 2009

2008
Efficient bond function basis set for pi-pi interaction energies.
J. Comput. Chem., 2008

2004
Fully quantum mechanical energy optimization for protein-ligand structure.
J. Comput. Chem., 2004

2003
Molecular caps for full quantum mechanical computation of peptide-water interaction energy.
J. Comput. Chem., 2003


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