采用比较分子力场分析(Comparative Molecular Field Analysis,CoMFA)和比较分子相似性指数分析(Comparative Molecular Similarity Indices Analysis,CoMSIA),对36种酰肼类及部分磷酸类润滑油添加剂的抗磨性能进行摩擦学三维定量构效...采用比较分子力场分析(Comparative Molecular Field Analysis,CoMFA)和比较分子相似性指数分析(Comparative Molecular Similarity Indices Analysis,CoMSIA),对36种酰肼类及部分磷酸类润滑油添加剂的抗磨性能进行摩擦学三维定量构效关系的研究,在静电场和立体场分别建立添加剂的CoMSIA模型,对比分析2种模型的稳定性和预测能力。结果表明:在静电场构建的CoMSIA模型的预测能力较好,表明分子静电场对该类型类化合物的抗磨性能影响最大;基于该模型构建的三维等高线图可较为直观地解释静电场对化合物抗磨性能的影响,即当官能团或原子的电负性和所在区域性质一致时,抗磨性能最好。因此在特定区域引入带有正电荷或负电荷的基团或原子将有助于提高化合物的抗磨效果。展开更多
AIM: Inhibitors of catechol-O-methyltransferase (COMT) have always been administered to improve the bioavailability of L-Dopa in the treatment of Parkinson disease (PD). A new three-dimensional quantitative structure-...AIM: Inhibitors of catechol-O-methyltransferase (COMT) have always been administered to improve the bioavailability of L-Dopa in the treatment of Parkinson disease (PD). A new three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis is performed to correlate the molecular fields with percent inhibition values. METHODS: Three predictive models were derived based on 36 previously reported COMT inhibitors employing comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methodologies. RESULTS: The CoMFA model and CoMSIA model with steric and electrostatic field yielded cross-validated rcv2 0.585 and 0.528 respectively, whereas the conventional rncv2 were 0.979 and 0.891. The CoMSIA model with hydrophobic field exhibited rcv2 0.544 and rncv2 0.930. CONCLUSION: The derived models from CoMFA and CoMSIA all exhibit good prediction for both internal and external validations. The individual inspection of 3D contours generated from these models helps in understanding the possible region for structural modification of molecules to improve the inhibitory bioactivity. The 3D-QSAR models may be useful in designing and predicting novel COMT inhibitors.展开更多
The quantitative structure-activity relationship(QSAR) of 2-alkyl-4-(biphenylylmethoxy) pyridine derivatives was studied.Three different alignment methods were used to get the models of the comparative molecular field...The quantitative structure-activity relationship(QSAR) of 2-alkyl-4-(biphenylylmethoxy) pyridine derivatives was studied.Three different alignment methods were used to get the models of the comparative molecular field analysis(CoMFA),the comparative molecular similarity indices analysis(CoMSIA),and the hologram quantitative structure?activity relationship(HQSAR).The statistical results from the established models show believable predictivity based on the cross-validated value(q2>0.5) and the non-validated value(r2>0.9),The analysis on contour maps of CoMFA and CoMSIA models suggests that hydrophobic and hydrogen-bond acceptor fields are important factors that affect the AT1 antagonistic activity of 2-alkyl-4-(biphenylylmethoxy) pyridine derivatives besides the steric and electrostatic fields,The structural modification information from different atom contributions in the HQSAR model is in agreement with that in the 3D-QSAR models.展开更多
文摘采用比较分子力场分析(Comparative Molecular Field Analysis,CoMFA)和比较分子相似性指数分析(Comparative Molecular Similarity Indices Analysis,CoMSIA),对36种酰肼类及部分磷酸类润滑油添加剂的抗磨性能进行摩擦学三维定量构效关系的研究,在静电场和立体场分别建立添加剂的CoMSIA模型,对比分析2种模型的稳定性和预测能力。结果表明:在静电场构建的CoMSIA模型的预测能力较好,表明分子静电场对该类型类化合物的抗磨性能影响最大;基于该模型构建的三维等高线图可较为直观地解释静电场对化合物抗磨性能的影响,即当官能团或原子的电负性和所在区域性质一致时,抗磨性能最好。因此在特定区域引入带有正电荷或负电荷的基团或原子将有助于提高化合物的抗磨效果。
文摘AIM: Inhibitors of catechol-O-methyltransferase (COMT) have always been administered to improve the bioavailability of L-Dopa in the treatment of Parkinson disease (PD). A new three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis is performed to correlate the molecular fields with percent inhibition values. METHODS: Three predictive models were derived based on 36 previously reported COMT inhibitors employing comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methodologies. RESULTS: The CoMFA model and CoMSIA model with steric and electrostatic field yielded cross-validated rcv2 0.585 and 0.528 respectively, whereas the conventional rncv2 were 0.979 and 0.891. The CoMSIA model with hydrophobic field exhibited rcv2 0.544 and rncv2 0.930. CONCLUSION: The derived models from CoMFA and CoMSIA all exhibit good prediction for both internal and external validations. The individual inspection of 3D contours generated from these models helps in understanding the possible region for structural modification of molecules to improve the inhibitory bioactivity. The 3D-QSAR models may be useful in designing and predicting novel COMT inhibitors.
基金Project(20876180) supported by the National Natural Science Foundation of China
文摘The quantitative structure-activity relationship(QSAR) of 2-alkyl-4-(biphenylylmethoxy) pyridine derivatives was studied.Three different alignment methods were used to get the models of the comparative molecular field analysis(CoMFA),the comparative molecular similarity indices analysis(CoMSIA),and the hologram quantitative structure?activity relationship(HQSAR).The statistical results from the established models show believable predictivity based on the cross-validated value(q2>0.5) and the non-validated value(r2>0.9),The analysis on contour maps of CoMFA and CoMSIA models suggests that hydrophobic and hydrogen-bond acceptor fields are important factors that affect the AT1 antagonistic activity of 2-alkyl-4-(biphenylylmethoxy) pyridine derivatives besides the steric and electrostatic fields,The structural modification information from different atom contributions in the HQSAR model is in agreement with that in the 3D-QSAR models.
