首页> 外文期刊>Journal of Chemometrics >Quionolone carboxylic acid derivatives as HIV-1 integrase inhibitors: Docking-based HQSAR and topomer CoMFA analyses
【24h】

Quionolone carboxylic acid derivatives as HIV-1 integrase inhibitors: Docking-based HQSAR and topomer CoMFA analyses

机译:喹硫酮羧酸衍生物作为HIV-1整合酶抑制剂:基于对接的HQSAR和Topomer Comfa分析

获取原文
获取原文并翻译 | 示例
           

摘要

Quionolone carboxylic acid derivatives as inhibitors of HIV-1 integrase were investigated as a potential class of drugs for the treatment of acquired immunodeficiency syndrome (AIDS). Hologram quantitative structure-activity relationships (HQSAR) and translocation comparative molecular field vector analysis (topomer CoMFA) were applied to a series of 48 quionolone carboxylic acid derivatives. The most effective HQSAR model was obtained using atoms and bonds as fragment distinctions: cross-validation q(2)=0.796, standard error of prediction SDCV=0.36, the non-cross-validated r(2)=0.967, non-cross validated standard error SD=0.17, the correlation coefficient of external validation Q(ext)(2)=0.955, and the best hologram length HL=180. topomer CoMFA models were built based on different fragment cutting models, with the most effective model of q(2)=0.775, SDCV=0.37, r(2)=0.967, SD=0.15, Q(ext)(2)=0.915, and F=163.255. These results show that the models generated form HQSAR and topomer CoMFA were able to effectively predict the inhibitory potency of this class of compounds. The molecular docking method was also used to study the interactions of these drugs by docking the ligands into the HIV-1 integrase active site, which revealed the likely bioactive conformations. This study showed that there are extensive interactions between the quionolone carboxylic acid derivatives and THR80, VAL82, GLY27, ASP29, and ARG8 residues in the active site of HIV-1 integrase. These results provide useful insights for the design of potent new inhibitors of HIV-1 integrase.
机译:作为HIV-1整合酶的抑制剂进行喹啉酮羧酸衍生物作为治疗获得的免疫缺陷综合征(艾滋病)的潜在药物。全息图定量结构 - 活性关系(HQSAR)和易位比较分子场载体分析(拓扑煤机)应用于一系列48个喹啉羧酸衍生物。使用原子和键获得最有效的HQSAR模型作为片段区分:交叉验证Q(2)= 0.796,预测SDCV = 0.36的标准误差,非交叉验证的R(2)= 0.967,非交叉验证标准误差SD = 0.17,外部验证的相关系数q(ext)(2)= 0.955,以及最佳全息图长度HL = 180。拓拓COMFA模型是基于不同的片段切割模型构建,具有最有效的Q(2)= 0.775,SDCV = 0.37,R(2)= 0.967,SD = 0.15,Q(Ext)(2)= 0.915,和f = 163.255。这些结果表明,生成的模型和拓拓COMFA的模型能够有效地预测这类化合物的抑制效力。分子对接方法还用于研究这些药物通过将配体对接到HIV-1整合酶活性位点的相互作用,这揭示了可能的生物活性构象。该研究表明,在HIV-1整合酶的活性位点中,喹啉羧酸衍生物和Thr80,Val82,Gly27,Asp29和Arg8残基之间存在广泛的相互作用。这些结果为HIV-1整合酶的有效新抑制剂的设计提供了有用的见解。

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