A combination of 2D similarity search, pharmacophore, and molecular docking techniques for the identification of vascular endothelial growth factor receptor-2 inhibitors. Issue 4 (April 2015)

• Record Type: Journal Article
• Authors: Ai, Guanhua; Tian, Caiping; Deng, Dawei; Fida, Guissi; Chen, Haiyan; Ma, Yuxiang; Ding, Li; Gu, Yueqing
• Is Part Of: Anti-cancer drugs. Volume 26:Issue 4(2015)
• Publication Date: 2015-04
• Subjects: 2D similarity search -- molecular docking -- pharmacophore modeling -- vascular endothelial growth factor receptor-2 inhibitors; Antineoplastic agents -- Periodicals; Cancer -- Chemotherapy -- Periodicals; Antineoplastic Agents -- therapeutic use -- Periodicals; Drug Therapy -- Periodicals; 616.994061
• DOI: 10.1097/CAD.0000000000000199
• Languages: English
• ISSNs: 0959-4973

Abstract

Abstract : The human vascular endothelial growth factor receptor-2 (VEGFR-2) has been an attractive target for the inhibition of angiogenesis. In the current study, we used a hybrid protocol of virtual screening methods to retrieve new VEGFR-2 inhibitors from the Zinc-Specs Database (441 574 compounds). The hybrid protocol included the initial screening of candidates by comparing the 2D similarity to five reported top active inhibitors of 13 VEGFR-2 X-ray crystallography structures, followed by the pharmacophore modeling of virtual screening on the basis of receptor–ligand interactions and further narrowing by LibDOCK to obtain the final hits. Two compounds (AN-919/41439526 and AK-968/40939851) with a high libscore were selected as the final hits for a subsequent cell cytotoxicity study. The two compounds screened exerted significant inhibitory effects on the proliferation of cancer cells (U87 and MCF-7). The results indicated that the hybrid procedure is an effective approach for screening specific receptor inhibitors.