Virtual screening and synthesis of new chemical scaffolds as VEGFR-2 kinase inhibitors.

Arzneimittel-Forschung-Drug Research Pub Date : 2012-12-01 Epub Date: 2012-09-21 DOI:10.1055/s-0032-1323759
M S Elsayed, M E El-Araby, R T Serya, K A M Abouzid
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引用次数: 1

Abstract

VEGFR-2 tyrosine kinase inhibitors are currently receiving high interest in drug discovery process as anticancer agents. We have used virtual screening techniques in order to discover new scaffolds that can be used for developing new VEGFR-2 kinase inhibitors.Similarity ensemble approach was used to reduce the chemical space of ZINC database to select a subset of compounds. A validated structure-based pharmacophore was developed and adopted to screen the selected subset. Initial hits mapped to the pharmacophore were filtered using docking and scoring. Selected compounds were synthesized and biologically tested. Compound 9 showed very good cytotoxicity profile against the NCI 60 cancer cell lines, while compound 8 showed reasonable inhibition of VEGFR-2 tyrosine kinase.Stepwise virtual screening of databases such as ZINC may result in new scaffolds for developing VEGFR-2 kinase inhibitors.

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新型VEGFR-2激酶抑制剂化学支架的虚拟筛选与合成。
目前,VEGFR-2酪氨酸激酶抑制剂作为抗癌药物在药物发现过程中受到高度关注。我们已经使用虚拟筛选技术来发现可用于开发新的VEGFR-2激酶抑制剂的新支架。采用相似系综的方法减少锌数据库的化学空间,从而筛选出一个化合物子集。我们开发了一个有效的基于结构的药效团来筛选所选的亚群。通过对接和评分对映射到药效团的初始命中进行过滤。合成了选定的化合物并进行了生物学测试。化合物9对NCI 60癌细胞具有良好的细胞毒性,而化合物8对VEGFR-2酪氨酸激酶具有一定的抑制作用。对数据库(如ZINC)的逐步虚拟筛选可能会为开发VEGFR-2激酶抑制剂提供新的支架。
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