首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >3D-QSAR with the aid of pharmacophore search and docking-based alignments for farnesyltransferase inhibitors.
【24h】

3D-QSAR with the aid of pharmacophore search and docking-based alignments for farnesyltransferase inhibitors.

机译:3D-QSAR借助药效基团搜索和法尼基转移酶抑制剂的基于对接的比对。

获取原文
获取原文并翻译 | 示例
           

摘要

Farnesyltransferase is a potential drug target for treating various types of cancers. Three-dimensional quantitative structure-activity relationships (3D-QSAR) for a series of farnesyltransferase inhibitors were investigated using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques. Pharmacophore search and molecular docking methods were used for construction of the molecular alignments. While the 3D-QSAR models were created for a training set of 33 compounds, their external predictivity was proven using a test set of 12 compounds. The results provided a comprehensive insight into the relationship between the structural features and the activities of farnesyltransferase inhibitors. This investigation will facilitate optimization of the design of new potential farnesyltransferase inhibitors.
机译:法尼基转移酶是治疗各种类型癌症的潜在药物靶标。使用比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)技术研究了一系列法尼基转移酶抑制剂的三维定量构效关系(3D-QSAR)。药理学搜索和分子对接方法用于构建分子比对。虽然为33种化合物的训练集创建了3D-QSAR模型,但使用12种化合物的测试集证明了它们的外部可预测性。结果提供了对法尼基转移酶抑制剂的结构特征和活性之间的关系的全面了解。这项研究将有助于优化新的潜在法呢基转移酶抑制剂的设计。

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