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QSAR Studies on Influenza Neuraminidase Inhibitors——Acylthiourea Analogue

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【作者】 景举华梁桂兆梅虎张巧霞李志良吕凤林

【Author】 JING Ju-Hua a LIANG Gui-Zhao b MEI Hu b ZHANG Qiao-Xia a LI Zhi-Liang a, b LV Feng-Lin c a (College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China) b (Key Laboratory of Biomedical Engineering of Educational Ministry and Chongqing City, Chongqing 400044, China) c (Institute of Surgery Research, Daping Hospital, The Third Military Medical University, Chongqing 400042, China)

【机构】 College of Chemistry and Chemical Engineering, Chongqing University,Chongqing 400044, ChinaKey Laboratory of Biomedical Engineering of Educational Ministry and Chongqing City,Chongqing 400044, ChinaInstitute of Surgery Research, Daping Hospital, The Third Military Medical University,Chongqing 400042, China

【摘要】 The quantitative structure-activity relationship (QSAR) of 30 acylthiourea analogues was studied by using a three-dimensional holographic vector of atomic interaction field (3D-HoVAIF) to describe their chemical structures. The descriptors obtained were screened by stepwise multiple regression (SMR) and a partial least-squares (PLS) regression model was built. The correlation coefficient r2 of the established model and Leave-One-Out (LOO) Cross-Validation (CV) correlation coefficient q2 are 0.624 and 0.409, respectively. The model has favorable stability and good prediction capability, and further QSAR analysis showed that hydrophobic interaction has the most important effect on the activity of acylthiourea analogue and 3D-HoVAIF was applicable to the molecular structural characterization and biologicalactivity prediction.

【Abstract】 The quantitative structure-activity relationship (QSAR) of 30 acylthiourea analogues was studied by using a three-dimensional holographic vector of atomic interaction field (3D-HoVAIF) to describe their chemical structures. The descriptors obtained were screened by stepwise multiple regression (SMR) and a partial least-squares (PLS) regression model was built. The correlation coefficient r2 of the established model and Leave-One-Out (LOO) Cross-Validation (CV) correlation coefficient q2 are 0.624 and 0.409, respectively. The model has favorable stability and good prediction capability, and further QSAR analysis showed that hydrophobic interaction has the most important effect on the activity of acylthiourea analogue and 3D-HoVAIF was applicable to the molecular structural characterization and biologicalactivity prediction.

【基金】 supported by the National High-tech Research Program (the “863” Program, No. 2006AA02Z312);Innovative Group Program for Graduates of Chongqing University, Science and Innovation Fund (No. 200711C1A0010260)
  • 【文献出处】 结构化学 ,Chinese Journal of Structural Chemistry , 编辑部邮箱 ,2009年02期
  • 【分类号】O621.2
  • 【被引频次】2
  • 【下载频次】123
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