Virtual screening for Raf-1 kinase inhibitors based on pharmacophore model of substituted ureas.

Article Details

Citation

Li HF, Lu T, Zhu T, Jiang YJ, Rao SS, Hu LY, Xin BT, Chen YD

Virtual screening for Raf-1 kinase inhibitors based on pharmacophore model of substituted ureas.

Eur J Med Chem. 2009 Mar;44(3):1240-9. doi: 10.1016/j.ejmech.2008.09.016. Epub 2008 Sep 23.

PubMed ID
18947905 [ View in PubMed
]
Abstract

A three-dimensional (3D) quantitative pharmacophore model was developed from a training set of structurally diverse substituted ureas against Raf-1 kinase, which was well validated to be highly predictive by two methods, namely, test set prediction and Cat-Scramble method. Then a virtual database searching was performed with the pharmacophore model as a 3D query, and the bioactivities of the retrieved hits were predicted by the pharmacophore. Subsequently, molecular docking was carried out on the selected hits whose estimated IC(50) was less than 1 microM. Finally, 29 hits were identified as potential leads against Raf-1 kinase, which exhibited good estimated activities, high docking scores, similar binding mode to experimentally proven compounds and favorable drug-like properties. The study may facilitate the discovery and rational design of novel leads with potent inhibitory activity targeting Raf-1 kinase.

DrugBank Data that Cites this Article

Binding Properties
DrugTargetPropertyMeasurementpHTemperature (°C)
SorafenibRAF proto-oncogene serine/threonine-protein kinaseIC 50 (nM)12N/AN/ADetails