吡啶類葡萄糖激酶激動劑的三維定量構效關系分析
發(fā)布時間:2018-11-15 17:24
【摘要】:葡萄糖激酶GK是調(diào)節(jié)體內(nèi)葡萄糖代謝和參與血糖動態(tài)平衡的主要靶點之一。本文針對46個具有GK激動劑活性的吡啶類衍生化合物進行構效關系研究,研究了其結構與活性的關系;诜肿庸餐羌墀B合用分子力場分析法(COMFA),比較分子相似指數(shù)法(COMSIA)兩種經(jīng)典三維定量構效關系(3D-QSAR)方法,建立相應模型,進行分子結構和抗糖尿病活性分析。COMFA模型的交叉驗證系數(shù)q~2為0.613,相關系數(shù)r~2為0.989;COMSIA模型交叉驗證系數(shù)q~2為0.621,相關系數(shù)r~2為0.982。數(shù)據(jù)證明兩種模型都顯示出較好的預測性,為設計新的活性更高的小分子激動劑提供了可靠信息。
[Abstract]:Glucokinase GK is one of the main targets to regulate glucose metabolism and to participate in the homeostasis of blood glucose. The structure-activity relationships of 46 pyridine derivatives with GK agonist activity were studied. Based on the comparison of molecular similarity index method (COMSIA) and three dimensional quantitative structure-activity relationship (3D-QSAR) method by molecular force field analysis (COMFA), the corresponding model was established based on the molecular common skeleton superposition. The molecular structure and antidiabetic activity were analyzed. The cross validation coefficient of COMFA model was 0.613, and the correlation coefficient was 0.989; The cross validation coefficient of COMSIA model was 0. 621, and the correlation coefficient was 0. 982. The data show that both models show good predictability and provide reliable information for the design of new and more active small molecular agonists.
【作者單位】: 重慶理工大學藥學與生物工程學院;
【基金】:國家自然科學基金項目(31170747,81171508資助 重慶市自然科學基金項目(cstc2015jcyjBX0080)資助 重慶市教委科技項目(KJ1600907)資助
【分類號】:R914
本文編號:2333958
[Abstract]:Glucokinase GK is one of the main targets to regulate glucose metabolism and to participate in the homeostasis of blood glucose. The structure-activity relationships of 46 pyridine derivatives with GK agonist activity were studied. Based on the comparison of molecular similarity index method (COMSIA) and three dimensional quantitative structure-activity relationship (3D-QSAR) method by molecular force field analysis (COMFA), the corresponding model was established based on the molecular common skeleton superposition. The molecular structure and antidiabetic activity were analyzed. The cross validation coefficient of COMFA model was 0.613, and the correlation coefficient was 0.989; The cross validation coefficient of COMSIA model was 0. 621, and the correlation coefficient was 0. 982. The data show that both models show good predictability and provide reliable information for the design of new and more active small molecular agonists.
【作者單位】: 重慶理工大學藥學與生物工程學院;
【基金】:國家自然科學基金項目(31170747,81171508資助 重慶市自然科學基金項目(cstc2015jcyjBX0080)資助 重慶市教委科技項目(KJ1600907)資助
【分類號】:R914
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