神经氨酸酶
化学
数量结构-活动关系
理论(学习稳定性)
相关系数
生物系统
领域(数学)
计算化学
立体化学
生物化学
酶
统计
机器学习
数学
生物
计算机科学
纯数学
摘要
To study the quantitative structure-activity relationship(QSAR)of 100 influenza neuraminidase inhibitors,the methods of three-dimensional holographicvector of atomic interaction field(3D-HoVAIF)was used to describe the chemical structure of influenza neuraminidase inhibitors.After the structural characterization,the descriptors obtained were screened by least square regression(PLS).It was found that the obtained model with the cumulative multiple correlation coefficient(R2cum),cumulative cross-validated(Q2cum)and standard error of estimation(SD)were R2cum = 0.805,Q2cum = 0.657 and SD=0.936 respectively.The result showed the model had favorable stability and good prediction capability.It has been used for predicting the 23 drugs from the published neport as well as 32 compounds designed from our lab..The 3D-HoVAIF was applicable to the molecular structural charac-terization and biologicalactivity prediction.
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