Literature DB >> 19081278

Molecular modeling studies of vascular endothelial growth factor receptor tyrosine kinase inhibitors using QSAR and docking.

Juan Du1, Beilei Lei, Jin Qin, Huanxiang Liu, Xiaojun Yao.   

Abstract

The vascular endothelial growth factor (VEGF) and its receptor tyrosine kinases VEGFR-2 or kinase insert domain receptor (KDR) are attractive targets for the development of novel anticancer agents. In the present work, comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were performed on a series of selective inhibitors of KDR. 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. Two conformer-based alignment strategies were employed to construct reliable 3D-QSAR models. The docked conformer-based alignment strategy gave the best 3D-QSAR models. The best CoMFA and CoMSIA models gave a cross-validated coefficient q(2) of 0.546 and 0.715, non-cross-validated r(2) values of 0.936 and 0.961, predicted r(2) values of 0.673 and 0.797, respectively. The information obtained from molecular modeling studies were very helpful to design some novel selective inhibitors of KDR with desired activity.

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Year:  2008        PMID: 19081278     DOI: 10.1016/j.jmgm.2008.10.006

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  3 in total

1.  Vascular endothelial growth factor receptor-2 (VEGFR-2) inhibitors: development and validation of predictive 3-D QSAR models through extensive ligand- and structure-based approaches.

Authors:  Rino Ragno; Flavio Ballante; Adele Pirolli; Richard B Wickersham; Alexandros Patsilinakos; Stéphanie Hesse; Enrico Perspicace; Gilbert Kirsch
Journal:  J Comput Aided Mol Des       Date:  2015-07-21       Impact factor: 3.686

2.  ATP and its N⁶-substituted analogues: parameterization, molecular dynamics simulation and conformational analysis.

Authors:  Paweł Gruszczyński; Krzysztof Smalara; Michał Obuchowski; Rajmund Kaźmierkiewicz
Journal:  J Mol Model       Date:  2010-07-29       Impact factor: 1.810

Review 3.  Cheminfomatic-based Drug Discovery of Human Tyrosine Kinase Inhibitors.

Authors:  Terry-Elinor Reid; Joseph M Fortunak; Anthony Wutoh; Xiang Simon Wang
Journal:  Curr Top Med Chem       Date:  2016       Impact factor: 3.295

  3 in total

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