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Juan Du

Researcher at Lanzhou University

Publications -  10
Citations -  244

Juan Du is an academic researcher from Lanzhou University. The author has contributed to research in topics: Quantitative structure–activity relationship & Docking (molecular). The author has an hindex of 7, co-authored 10 publications receiving 216 citations.

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Molecular modeling study of checkpoint kinase 1 inhibitors by multiple docking strategies and prime/MM–GBSA calculation

TL;DR: The molecular docking combined with Prime/MM–GBSA simulation can not only be used to rapidly and accurately predict the binding‐free energy of novel Chk1 inhibitors but also provide a novel strategy for lead discovery and optimization targeting Chk 1.
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Molecular modeling studies of vascular endothelial growth factor receptor tyrosine kinase inhibitors using QSAR and docking.

TL;DR: Docking studies were performed to explore the binding mode between all of the inhibitors and the KDR and produce the bioactive conformation of each compound in the whole dataset and the information obtained was very helpful to design some novel selective inhibitors of KDR with desired activity.
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3D-QSAR and molecular docking studies of selective agonists for the thyroid hormone receptor β

TL;DR: Three-dimensional quantitative structure-activity relationship models were developed using comparative molecular field analysis and comparative molecular similarity analysis on a series of agonists of thyroid hormone receptor beta (TRbeta), which may lead to safe therapies for non-thyroid disorders while avoiding the cardiac side effects.
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A Combined Molecular Modeling Study on Gelatinases and Their Potent Inhibitors

TL;DR: A molecular modeling study combining protein‐, ligand‐ and complex‐based computational methods was performed to analyze a new series of β‐N‐biaryl ether sulfonamide hydroxamates as potent inhibitors of gelatinase A (MMP‐2) and gelatinase B (M MP‐9).
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Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) of thiazolone derivatives as hepatitis C virus NS5B polymerase allosteric inhibitors

TL;DR: Three-dimensional quantitative structure-activity relationship (3D-QSAR) models for a series of thiazolone derivatives as novel inhibitors bound to the allosteric site of hepatitis C virus (HCV) NS5B polymerase were developed based on CoMFA and CoMSIA analyses.