首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >3D-QSAR pharmacophore modeling and in silico screening of new Bcl-xl inhibitors.
【24h】

3D-QSAR pharmacophore modeling and in silico screening of new Bcl-xl inhibitors.

机译:3D-QSAR Pharmacophore建模和新型BCL-XL抑制剂的硅筛选。

获取原文
获取原文并翻译 | 示例
           

摘要

Bcl-2 proteins family members play several roles in tumoral proliferation: they inhibit proapoptotic activity during oncogenesis, support tumor cells survival, induce chemoresistance. The discovery of new small inhibitors of Bcl-xl represents a new frontier for cancer treatment. In this study, a 3D-QSAR pharmacophore model was developed, based on 42 biarylacylsulfonamides, and used to understand the structural factors affecting the inhibitory potency of these derivatives. Aromatic, negative charge, and hydrogen bond acceptor effects contribute to the inhibitory activity. The model was then employed as 3D search query to screen ZINC drug-like database in order to select new scaffolds. Finally six hits were identified. Docking study evidenced the capability of these compounds to interact with Bcl-xl receptor, and they were selected for further in vitro and in vivo assay studies.
机译:BCL-2蛋白家族成员在肿瘤增殖中发挥几种作用:它们在肿瘤发生期间抑制促凋亡活性,支持肿瘤细胞存活,诱导化学化。 Bcl-XL的新小抑制剂的发现代表了一种新的癌症治疗前沿。 在本研究中,基于42烷基磺酰磺酰胺开发了3D-QSAR药物植物模型,并用于了解影响这些衍生物抑制性效力的结构因素。 芳香,负电荷和氢键受体效应有助于抑制活性。 然后将该模型用于3D搜索查询以筛选锌的药物状数据库以选择新的支架。 最后确定了六次命中。 对接研究证明了这些化合物与Bcl-XL受体相互作用的能力,并且它们在体外和体内测定研究中进一步选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号