In order to understand the chemical-biological interactions governing their activities toward neuraminidase （NA）, QSAR models of 28 thiazolidine-4-carboxylic acid derivatives with inhibitory influenza A virus were d...In order to understand the chemical-biological interactions governing their activities toward neuraminidase （NA）, QSAR models of 28 thiazolidine-4-carboxylic acid derivatives with inhibitory influenza A virus were developed. The obtained HQSAR （hologram quantitative structure activity relationship）, Topomer CoMFA and CoMSIA （comparative molecular similarity indices analysis） models were robust and had good exterior predictive capabilities. Moreover, QSAR modeling results elucidated that hydrogen bonds highly contributed to the inhibitory activity, then electrostatic and hydrophobic factors. Squared multiple correlation coefficients （R2） of HQSAR, Topomer CoMFA and CoMSIA models were 0.994, 0.978 and 0.996, respectively. Squared cross-validated correlation coefficients （Q2） of HQSAR, Topomer CoMFA and CoMSIA models were in turn 0.951, 919 and 0.820. Furthermore, squared multiple correlation coefficients for the test set （R2test） of HQSAR, CoMFA and CoMSIA models were 0.879, 0.912 and 0.953, respectively. Squared cross-validated correlation coefficients for the test set （Q2ext） of HQSAR, Topomer CoMFA and CoMSIA models were 0.867, 0.884 and 0.899, correspondingly.展开更多
Topomer comparative molecular field analysis(Topomer Co MFA)and holographic quantitative structure-activity relationship(HQSAR)for 1302,5-diketopiperazine derivatives were used to build a three-dimensional quantitativ...Topomer comparative molecular field analysis(Topomer Co MFA)and holographic quantitative structure-activity relationship(HQSAR)for 1302,5-diketopiperazine derivatives were used to build a three-dimensional quantitative structure-activity relationship(3D-QSAR)model.The results show that the models have high predictive ability.For Topomer CoMFA,the cross-validated q^2 value is 0.710 and the non-cross-validated r^2 value is 0.834.The most effective HQSAR model shows that the cross-validation q^2 value is 0.700,the non-cross-validated r^2 value is 0.815,and the best hologram length value is 353 using connections and bonds as fragment distinctions.50 highly active 2,5-diketopiperazine derivatives were designed based on the three-dimensional equipotential map and HQSAR color code map.Finally,the molecular docking method was also used to study the interactions of these new molecules by docking the ligands into the diketopiperazine active site,which revealed the likely bioactive conformations.This study showed that there are extensive interactions between the new molecule and Arg156,Arg122 residues in the active site of diketopiperazine.These results provide useful insights for the design of potent of the new 2,5-diketopiperazine derivatives.展开更多
In this study, Co MFA, Co MSIA and HQSAR techniques were used to study the important characteristic activities of thieno [2,3-d] pyrimidine derivatives for effective antitumor activity. The q^(2) value of cross valida...In this study, Co MFA, Co MSIA and HQSAR techniques were used to study the important characteristic activities of thieno [2,3-d] pyrimidine derivatives for effective antitumor activity. The q^(2) value of cross validation of CoMFA model was 0.621, and r^(2) value of non-cross validation was 0.959. The best cross validation q^(2) value of CoMSIA model was 0.522, while the r^(2) value of non-cross validation was 0.961. The most effective HQSAR model was obtained by taking atoms and bonds as fragments: the q^(2) value of cross validation is 0.535, the r^(2) value of non-cross validation is 0.871, the standard error of prediction is 0.488, and the optimal hologram length is 199. The statistical parameters from the model show that the data fit well and have high prediction ability. In addition, molecular docking is used to study the binding requirements between ligands and receptor proteins, including several hydrogen bonds between thieno [2,3-d] pyrimidine and active site residues. The results obtained from these QSAR modeling studies can be used to design promising anticancer drugs.展开更多
利用分子全息技术研究了129个5-羧基苯并咪唑类HCV NS5B聚合酶抑制剂的结构与活性之间的关系.讨论了分子碎片大小、碎片区分参数及全息长度对模型质量的影响.利用偏最小二乘法(partial least square,PLS)建立了一组以99个化合物为训练...利用分子全息技术研究了129个5-羧基苯并咪唑类HCV NS5B聚合酶抑制剂的结构与活性之间的关系.讨论了分子碎片大小、碎片区分参数及全息长度对模型质量的影响.利用偏最小二乘法(partial least square,PLS)建立了一组以99个化合物为训练集的最优模型,该模型的交叉验证相关系数q^2=0.820,非交叉验证相关系数r^2=0.963,标准偏差SEE=0.213;用最优模型对由30个化合物组成的测试集进行预测,得到其相关系数r_(pred)~2=0.98,表明了该模型具有良好的预测能力及拟合能力.利用色码图对模型中不同原子及不同结构的贡献进行了解释,在此基础上根据最优HQSAR模型设计了几种具有良好抗HCV活性的苯并咪唑类HCV NS5B聚合酶抑制剂分子,为新型HCV NS5B聚合酶抑制剂的设计和优化提供了参考.展开更多
基金supported by the National Natural Science Foundation of China (No. 21202110)
文摘In order to understand the chemical-biological interactions governing their activities toward neuraminidase （NA）, QSAR models of 28 thiazolidine-4-carboxylic acid derivatives with inhibitory influenza A virus were developed. The obtained HQSAR （hologram quantitative structure activity relationship）, Topomer CoMFA and CoMSIA （comparative molecular similarity indices analysis） models were robust and had good exterior predictive capabilities. Moreover, QSAR modeling results elucidated that hydrogen bonds highly contributed to the inhibitory activity, then electrostatic and hydrophobic factors. Squared multiple correlation coefficients （R2） of HQSAR, Topomer CoMFA and CoMSIA models were 0.994, 0.978 and 0.996, respectively. Squared cross-validated correlation coefficients （Q2） of HQSAR, Topomer CoMFA and CoMSIA models were in turn 0.951, 919 and 0.820. Furthermore, squared multiple correlation coefficients for the test set （R2test） of HQSAR, CoMFA and CoMSIA models were 0.879, 0.912 and 0.953, respectively. Squared cross-validated correlation coefficients for the test set （Q2ext） of HQSAR, Topomer CoMFA and CoMSIA models were 0.867, 0.884 and 0.899, correspondingly.
基金supported by the National Natural Science Funds of China(21475081)the Natural Science Foundation of Shaanxi Province(2019JM-237)the Graduate Innovation Fund of Shaanxi University of Science and Technology。
文摘Topomer comparative molecular field analysis(Topomer Co MFA)and holographic quantitative structure-activity relationship(HQSAR)for 1302,5-diketopiperazine derivatives were used to build a three-dimensional quantitative structure-activity relationship(3D-QSAR)model.The results show that the models have high predictive ability.For Topomer CoMFA,the cross-validated q^2 value is 0.710 and the non-cross-validated r^2 value is 0.834.The most effective HQSAR model shows that the cross-validation q^2 value is 0.700,the non-cross-validated r^2 value is 0.815,and the best hologram length value is 353 using connections and bonds as fragment distinctions.50 highly active 2,5-diketopiperazine derivatives were designed based on the three-dimensional equipotential map and HQSAR color code map.Finally,the molecular docking method was also used to study the interactions of these new molecules by docking the ligands into the diketopiperazine active site,which revealed the likely bioactive conformations.This study showed that there are extensive interactions between the new molecule and Arg156,Arg122 residues in the active site of diketopiperazine.These results provide useful insights for the design of potent of the new 2,5-diketopiperazine derivatives.
基金supported by the National Natural Science Foundation of China(21475081)the Natural Science Foundation of Shaanxi Province(2019JM-237)the Graduate Innovation Fund of Shaanxi University of Science and Technology。
文摘In this study, Co MFA, Co MSIA and HQSAR techniques were used to study the important characteristic activities of thieno [2,3-d] pyrimidine derivatives for effective antitumor activity. The q^(2) value of cross validation of CoMFA model was 0.621, and r^(2) value of non-cross validation was 0.959. The best cross validation q^(2) value of CoMSIA model was 0.522, while the r^(2) value of non-cross validation was 0.961. The most effective HQSAR model was obtained by taking atoms and bonds as fragments: the q^(2) value of cross validation is 0.535, the r^(2) value of non-cross validation is 0.871, the standard error of prediction is 0.488, and the optimal hologram length is 199. The statistical parameters from the model show that the data fit well and have high prediction ability. In addition, molecular docking is used to study the binding requirements between ligands and receptor proteins, including several hydrogen bonds between thieno [2,3-d] pyrimidine and active site residues. The results obtained from these QSAR modeling studies can be used to design promising anticancer drugs.
