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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.
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https://hal.univ-lorraine.fr/hal-01495974
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Submitted on : Monday, March 27, 2017 - 10:23:54 AM
Last modification on : Friday, February 26, 2021 - 3:24:02 PM

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Rino Ragno, Flavio Ballante, Adele Pirolli, Richard B. Wickersham, Alexandros Patsilinakos, et al.. 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. Journal of Computer-Aided Molecular Design, Springer Verlag, 2015, 29 (8), pp.757-776. ⟨10.1007/s10822-015-9859-y⟩. ⟨hal-01495974⟩

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