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.
Phenylpropenamide derivatives: Anti-hepatitis B virus activity of the Z isomer, SAR and the search for novel analogs
摘要:
Phenylpropenamides have been reported to be a class of non-nucleoside inhibitors of the hepatitis B virus (HBV). This class of compounds was explored with the objective of developing potent anti-HBV agents, with a novel mechanism of action, that could be combined with nucleos(t) ide analogs currently used to treat HBV infection. To accomplish this objective a series of substituted arylpropenamide derivatives were prepared and the E and Z geometrical isomers were separated. The structural identity of each of the E and Z isomers was determined by single crystal X-ray crystallography. Contrary to previous reports, the activity of this class of molecules resides in the Z isomer. Further structure-activity relationship studies around the active Z isomer identified compounds that displayed potent antiviral activity against HBV with EC90 value of approximately 0.5 mu M in vitro. Attempts to develop ring constrained analogs did not lead to active HBV inhibitors. (C) 2011 Elsevier Ltd. All rights reserved.
Phenylpropenamide derivatives: Anti-hepatitis B virus activity of the Z isomer, SAR and the search for novel analogs
作者:Peiyuan Wang、Devan Naduthambi、Ralph T. Mosley、Congrong Niu、Phillip A. Furman、Michael J. Otto、Michael J. Sofia
DOI:10.1016/j.bmcl.2011.05.077
日期:2011.8
Phenylpropenamides have been reported to be a class of non-nucleoside inhibitors of the hepatitis B virus (HBV). This class of compounds was explored with the objective of developing potent anti-HBV agents, with a novel mechanism of action, that could be combined with nucleos(t) ide analogs currently used to treat HBV infection. To accomplish this objective a series of substituted arylpropenamide derivatives were prepared and the E and Z geometrical isomers were separated. The structural identity of each of the E and Z isomers was determined by single crystal X-ray crystallography. Contrary to previous reports, the activity of this class of molecules resides in the Z isomer. Further structure-activity relationship studies around the active Z isomer identified compounds that displayed potent antiviral activity against HBV with EC90 value of approximately 0.5 mu M in vitro. Attempts to develop ring constrained analogs did not lead to active HBV inhibitors. (C) 2011 Elsevier Ltd. All rights reserved.
Synthesis and quantitative structure–activity relationships study for phenylpropenamide derivatives as inhibitors of hepatitis B virus replication
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.