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HEPT类HIV-1逆转录酶衍生物的CoMFA、CoMSIA及HQSAR分析
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  • 英文篇名:CoMFA,CoMSIA and HQSAR Analysis of HEPT as HIV-1 Reverse Transcriptase Inhibitors
  • 作者:仝建波 ; 雷珊 ; 王洋 ; 秦尚尚
  • 英文作者:TONG Jian-bo;LEI Shan;WANG Yang;QIN Shang-shang;College of Chemistry and Chemical Engineering,Shaanxi University of Science & Technology;Shaanxi Key Laboratory of Chemical Additives for Industry,Shaanxi University of Science and Technology;
  • 关键词:CoMFA ; CoMSIA ; HQSAR ; HEPT类衍生物 ; 生物工程
  • 英文关键词:CoMFA;;CoMSIA;;HQSAR;;HEPT derivatives;;biological engineering
  • 中文刊名:JXHG
  • 英文刊名:Fine Chemicals
  • 机构:陕西科技大学化学与化工学院;教育部轻化工助剂化学与技术重点实验室;
  • 出版日期:2018-10-15 16:42
  • 出版单位:精细化工
  • 年:2019
  • 期:v.36
  • 基金:国家自然科学基金(21475081);; 陕西省自然科学基础研究计划(2015JM2057);; 陕西科技大学研究生创新基金~~
  • 语种:中文;
  • 页:JXHG201901010
  • 页数:10
  • CN:01
  • ISSN:21-1203/TQ
  • 分类号:62-70+78
摘要
采用比较分子力场分析法(CoMFA)、比较分子相似因子分析法(CoMSIA)和分子全息定量结构关系(HQSAR)对1-[(2-羟乙氧)甲基]-6-苯硫基胸腺嘧啶(HEPT)类衍生物进行了分子活性构象选择、分子叠合、空间力场范围建立以及相应3D-QSAR模型建立。结果表明:该法所建模型对此类化合物具有良好的预测能力。CoMFA模型显示,交叉验证系数(q2)为0.565,非交互验证系数(r2)为0.892;CoMSIA模型显示,最佳q2为0.636,r2为0.953;最佳的HQSAR模型显示,q2为0.876,r2为0.929,最佳全息长度为97。根据三维等势图和HQSAR色码图设计了7个有较高活性的HEPT类化合物。
        Comparative molecular field analysis(Co MFA),comparative molecular similarity indices analysis(CoMSIA) and hologram quantitative structure-activity relationship(HQSAR) for 1-[(2-hydroxyethyloxy)methyl]-6-phenylthio thymidine(HEPT) derivatives were used to have molecular active conformation selection,molecular alignment,as well as the establishment of corresponding 3 D-QSAR model.The model established by this method had a good ability to predict these compounds.For CoMFA model,the cross-validated q2 value and non-cross-validated r2 value was 0.565 and 0.892,respectively.The best q2 value for CoMSIA model was 0.636 and r2 value was 0.953.The most effective HQSAR model was obtained with q2 value of 0.876 and r2 value of 0.929,and the best hologram length value was 97.Seven highly active HEPT compounds were designed based on three-dimensional contour maps and HQSAR color code map.Observations derived from these QSAR modeling study may provide a theoretical reference for designing more active HEPT derivatives.
引文
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