Synthesis and quantitative structure–activity relationships study for phenylpropenamide derivatives as inhibitors of hepatitis B virus replication
摘要:
A series of new phenylpropenamide derivatives containing different substituents was synthesized, characterized and evaluated for their anti-hepatitis B virus (HBV) activities. The quantitative structure activity relationships (QSAR) of phenylpropenamide compound have been studied. The 2D-QSAR models, based on OFT and multiple linear regression analysis methods, revealed that higher values of total energy (TE) and lower entropy (S-theta) enhanced the anti-HBV activities of the phenylpropenamide molecules. Predictive 3D-QSAR models were established using SYBYL multifit molecular alignment rule. The optimum models were all statistically significant with cross-validated and conventional coefficients, indicating that they were reliable enough for activity prediction. (C) 2015 Elsevier Masson SAS. All rights reserved.
Synthesis and quantitative structure–activity relationships study for phenylpropenamide derivatives as inhibitors of hepatitis B virus replication
摘要:
A series of new phenylpropenamide derivatives containing different substituents was synthesized, characterized and evaluated for their anti-hepatitis B virus (HBV) activities. The quantitative structure activity relationships (QSAR) of phenylpropenamide compound have been studied. The 2D-QSAR models, based on OFT and multiple linear regression analysis methods, revealed that higher values of total energy (TE) and lower entropy (S-theta) enhanced the anti-HBV activities of the phenylpropenamide molecules. Predictive 3D-QSAR models were established using SYBYL multifit molecular alignment rule. The optimum models were all statistically significant with cross-validated and conventional coefficients, indicating that they were reliable enough for activity prediction. (C) 2015 Elsevier Masson SAS. All rights reserved.
A series of new phenylpropenamide derivatives containing different substituents was synthesized, characterized and evaluated for their anti-hepatitis B virus (HBV) activities. The quantitative structure activity relationships (QSAR) of phenylpropenamide compound have been studied. The 2D-QSAR models, based on OFT and multiple linear regression analysis methods, revealed that higher values of total energy (TE) and lower entropy (S-theta) enhanced the anti-HBV activities of the phenylpropenamide molecules. Predictive 3D-QSAR models were established using SYBYL multifit molecular alignment rule. The optimum models were all statistically significant with cross-validated and conventional coefficients, indicating that they were reliable enough for activity prediction. (C) 2015 Elsevier Masson SAS. All rights reserved.