...
首页> 外文期刊>Journal of Molecular Structure >Multiple quantitative structure-activity relationships (QSARs) analysis for orally active trypanocidal N-myristoyltransferase inhibitors
【24h】

Multiple quantitative structure-activity relationships (QSARs) analysis for orally active trypanocidal N-myristoyltransferase inhibitors

机译:对口服活性胰蛋白酶N- myristoyl转移酶抑制剂的多种定量结构 - 活性关系(QSARS)分析

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In the present work, OECD guidelines have been followed for developing QSAR (Quantitative Structure-Activity Relationship) models for anti-HAT (Human African trypanosomiasis) activity of two hundred and seventy pyrazole sulphonamides. The newly developed easily interpretable multiple QSAR models have been successful in identification of many privileged as well as under-privileged molecular descriptors, which could be highly useful for future use of these models by expert and non-experts of QSAR. The multiple QSAR models satisfy threshold values for many statistical parameters such as R-2 = 0.80-0.83, Q(2) = 0.79-0.81, CCCext = 0.82-0.84, etc. thereby assuring good external predictive ability of the models. The multiple QSAR and pharmacophoric models successfully identified that N,4-disubstituted-benze-nesulfonamide moiety, frequency of occurrence of H-bond acceptor from Oxygen atom within nine bonds and some other pharmacophoric features that govern the anti-HAT activity of pyrazole sulphonamides. The results could be very useful to synthetic/medicinal chemists for future modifications of pyrazole sulphonamides as drug candidates. (C) 2018 Elsevier B.V. All rights reserved.
机译:在目前的工作中,OECD准则已经遵循发展QSAR(定量构效关系)模型抗HAT(非洲人类锥虫病)二百七十吡唑磺胺类的活动。新开发的简单易懂的多个QSAR模型已经在许多特权的标识是成功的,以及根据特权分子描述符,这可能是未来的专家和QSAR的非专业人士使用这些模型是非常有用的。多个QSAR模型满足许多统计参数,例如R-2 = 0.80-0.83,Q(2)= 0.79-0.81,CCCext = 0.82-0.84等从而确保模型的良好的外部预测能力阈值。多个QSAR和药效模型成功地鉴定了N,4-二取代的 - benze-nesulfonamide部分,在9个键和支配吡唑磺酰胺的抗HAT活性一些其他药效特征选自氧原子H-键受体发生的频率。结果可能是合成/药物化学家为吡唑磺酰胺作为候选药物的未来修改非常有用的。 (c)2018年elestvier b.v.保留所有权利。

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