Title
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
Abstract
Vascular endothelial growth factor receptor-2, (VEGFR-2), is a key element in angiogenesis, the process by which new blood vessels are formed, and is thus an important pharmaceutical target. Here, 3-D quantitative structure–activity relationship (3-D QSAR) were used to build a quantitative screening and pharmacophore model of the VEGFR-2 receptors for design of inhibitors with improved activities. Most of available experimental data information has been used as training set to derive optimized and fully cross-validated eight mono-probe and a multi-probe quantitative models. Notable is the use of 262 molecules, aligned following both structure-based and ligand-based protocols, as external test set confirming the 3-D QSAR models’ predictive capability and their usefulness in design new VEGFR-2 inhibitors. From a survey on literature, this is the first generation of a wide-ranging computational medicinal chemistry application on VEGFR2 inhibitors.
Year
DOI
Venue
2015
10.1007/s10822-015-9859-y
Journal of Computer-Aided Molecular Design
Keywords
Field
DocType
Vascular endothelial growth factor receptor-2 (VEGFR-2),Structure-based drug design (SBDD),Ligand-based drug design (LBDD),3-D QSAR,Molecular docking,3-D QSAutogrid/R
Docking (molecular),Quantitative structure–activity relationship,Pharmacophore,Experimental data,Kinase insert domain receptor,Chemistry,Vascular endothelial growth factor,Angiogenesis,Bioinformatics,Test set
Journal
Volume
Issue
ISSN
29
8
0920-654X
Citations 
PageRank 
References 
2
0.38
12
Authors
8