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大肠杆菌DXS酶抑制剂的3D-QSAR研究 被引量:2

3D-QSAR study on E.coli DXS inhibitors
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摘要 利用分子对接和叠合构象,在SYBYL软件中运用CoMFA和CoMSIA方法,成功建立了DXS酶抑制剂的3D-QSAR预测模型,其相关参数(CoMFA:q^2=0.617,R^2=0.998,rpred^2=0.640;COMSIA:q^2=0.505,R^2=0.990,rpred^2=0.668,其中q^2为交叉验证系数,R和rpred为检验模型预测能力的相关系数)均证明模型具有较好的预测能力.该模型研究了DXS抑制剂的三维构效关系,其结构方面的信息有助于研发新的DXS抑制剂. In the present study,a 3D-QSAR predictive model of DXS enzyme inhibitor was successfully established through the CoMFA and CoMSIA methods in SYBYL software based on molecular docking and superposed conformation.The model parameters CoMFA(q^2=0.617,R^2=0.998,r pred^2=0.640)and COMSIA(q^2=0.505,R^2=0.990,r pred^2=0.668),in which q^2 is the cross validation coefficient and R(or r^2 pred)is the coefficient to verify the model prediction abilities,showed that the model had good predictive ability.The three dimensional structure-activity relationship of DXS inhibitors was also explored,the structural information of which would be helpful for the development of new DXS inhibitors.
作者 戴康 马建 李天恩 吴吉祥 谭宏飞 DAI Kang;MA Jian;LI Tianen;WU Jixiang;TAN Hongfei(School of Pharmaceutical Sciences,South-Central University for Nationalities,Wuhan 430074,China)
出处 《中南民族大学学报(自然科学版)》 CAS 2019年第3期404-410,共7页 Journal of South-Central University for Nationalities:Natural Science Edition
基金 国家自然科学基金资助项目(30471432) 中央高校基本科研业务费专项资金资助项目(CZY17015)
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