In the present work,comparative molecular field analysis(CoMFA)techniques were used to perform three-dimensional quantitative structure-activity relationship(3D-QSAR)studies on the anti-tumor activity(pHi,i=1,2,3,4)of...In the present work,comparative molecular field analysis(CoMFA)techniques were used to perform three-dimensional quantitative structure-activity relationship(3D-QSAR)studies on the anti-tumor activity(pHi,i=1,2,3,4)of N-aryl-salicylamide derivatives against four cancer cell lines,including A549,MCF-7,SGC-7901,and Bel-7402.12 compounds were randomly selected as the training set to establish the prediction models,which were verified by the test set of 5 compounds containing template molecule.The contributions of steric and electrostatic fields to pH1,pH2,pH3,and pH4 were 23.8% and 76.2%,20.1% and 79.9%,18.7% and 81.3%,and 14.3%and 85.7%,respectively.The cross-validation(Rcv 2)and non-cross-validation coefficients(R2)were 0.826 and 0.963 for pH1,0.867 and 0.974 for pH2,0.941 and 0.989 for pH3,and 0.797 and 0.961 for pH4,respectively.The CoMFA models were then used to predict the activities of the compounds,and it was found that the models had strong stability and good predictability.Based on the CoMFA contour maps,some key structural factors responsible for the anticancer activity of the series of compounds were revealed.The results provide some useful theoretical references for understanding the mechanism of action,designing new N-aryl-salicylamide derivatives with high anti-tumor activity,and predicting their activities.展开更多
A 3D-QSAR study was conducted to analyze the anti-tumor activity(pHs,s=1,6)of dihydropyridin-2-one containing histone deacetylase inhibitor(DHDACi)to histone deacetylase(HDACs,s=1,6)by the comparative molecular field ...A 3D-QSAR study was conducted to analyze the anti-tumor activity(pHs,s=1,6)of dihydropyridin-2-one containing histone deacetylase inhibitor(DHDACi)to histone deacetylase(HDACs,s=1,6)by the comparative molecular field analysis(CoMFA)method.The predicting model was established based on the training set of 22 compounds,which was verified by the test set of 6 compounds containing template molecule.The results showed that the contributions of steric and electrostatic fields to pH1 are 37.6%and 62.4%,and those to pH6 are 44.6%and 55.4%,respectively.The coefficients of the cross-validation(Rcv2)and the non cross-validation(R2)are 0.574 and 0.947 for pH1,and 0.488 and 0.884 for pH6,respectively.The models were then used to predict the activities of the compounds for the training and testing sets.The results indicated that the models had strong stability and good predictability.Based on the 3D contour maps,several new potential inhibitors with higher anti-tumor activity were designed.However,the effectiveness of these potential inhibitors is still needed to be verified by the experimental results.展开更多
A 3D-QSAR study was conducted to analyze the anti-excitatory activity(p E)of benzodiazepinooxazole derivatives to mice by the comparative molecular field analysis(CoMFA)method.Among the 54 active molecules,a training ...A 3D-QSAR study was conducted to analyze the anti-excitatory activity(p E)of benzodiazepinooxazole derivatives to mice by the comparative molecular field analysis(CoMFA)method.Among the 54 active molecules,a training set of 46 compounds was randomly selected to construct the CoMFA model;the remaining compounds,together with template molecule(No.54)and two newly designed molecules constitute a test set of 17 compounds to validate the model.The obtained cross-validation coefficient(R_(cv)^(2)),the non-cross validation coefficient(R^(2)),and the test value F of the CoMFA model for training set are 0.516,0.899,and 57.57,respectively.The model was used to predict the activities of all compounds in the training and testing sets,and the results indicated that the model had good correlation,strong stability and good predictability.Based on the 3D contour maps,eight novel benzodiazepinooxazole derivatives with higher anti-excitatory activity were designed.However,the effectiveness of these novel benzodiazepinooxazole derivatives is still needed to be verified by the experimental results.展开更多
Comparative molecular field analysis(CoMFA)techniques were used to perform three-dimensional quantitative structure-activity relationship(3D-QSAR)studies on the anti-tumor activity(pIH and pIC)of 28 fluoroquinolon-3-y...Comparative molecular field analysis(CoMFA)techniques were used to perform three-dimensional quantitative structure-activity relationship(3D-QSAR)studies on the anti-tumor activity(pIH and pIC)of 28 fluoroquinolon-3-yl s-triazole sulfide-ketone derivatives(FQTSDs)against two cancer cell lines,including human hepatoma Hep-3B cells and human pancreatic cancer Capan-1 cells.23 compounds were randomly selected as the training set to establish the prediction models,which were verified by the test set of 6 compounds containing template molecule.The obtained cross-validation(Rcv2)and non-cross-validation correlation coefficients(R2)of the CoMFA models were 0.477 and 0.850 for pIH,and 0.421 and 0.836 for pIC,respectively.The contributions of steric and electrostatic fields to pIH were determined to be 48.1%and 51.9%,and those to pIC were 49.4%and 50.6%,respectively.The CoMFA models were then used to predict the activities of the compounds in the training and testing sets,and the models had a strong stability and good predictability.Based on the 3D contour maps,four novel FQTSDs with a higher anti-tumor activity were designed.However,the effectiveness of these novel FQTSDs is still needed to be verified by experimental results.展开更多
The in vitro anti-proliferative activity(pICi,i=hp,ca,hl)of fluoroquinolone(rhodanineα,β-unsaturated ketone)amide compounds,referred to as“fluoroquinolone amide derivatives(FQADs)”towards Hep-3B,Capan-1 and HL60 c...The in vitro anti-proliferative activity(pICi,i=hp,ca,hl)of fluoroquinolone(rhodanineα,β-unsaturated ketone)amide compounds,referred to as“fluoroquinolone amide derivatives(FQADs)”towards Hep-3B,Capan-1 and HL60 cells,was studied by the 3D-QSAR method of comparative molecular field analysis(CoMFA).Based on the training set of 14 compounds,the prediction model was established,which was further verified by the test set of 5 compounds with template molecule included.It is found that steric and electrostatic fields contribute 66.8%and 33.2%to pIChp,61.4%and 38.6%to pICca,and 61.5%and 38.5%to pIChl,respectively.The Rcv 2(i.e,cross-validation coefficient)is 0.324,0.381,and 0.421 for pIChp,pICca,and pIChl,respectively,while the corresponding R2(i.e,non-cross-validation coefficient)all reach 0.999.Then,the models were employed to estimate the activities of the training and test compounds,and the results show that the stability and predictability of developed models are very satisfactory.According to the contour maps of steric and electronic fields,bulky groups linked to 2-,3-,4-positions of phenyl ring,and electropositive groups near the 4-position and electronegative groups far away may increase the anti-proliferative activity.Using the information provided by the 3D contour maps,four new FQADs owing higher antiproliferative activity were designed,but their effectiveness should be further tested by experiments.展开更多
A three-dimensional quantitative structure-activity relationship(3 D-QSAR) study was conducted to analyze the A1 AR density(Bmax) of 56 3-aroyl-5-substituted thiophene derivatives(ASTDs) in human A1 Chinese hamster ov...A three-dimensional quantitative structure-activity relationship(3 D-QSAR) study was conducted to analyze the A1 AR density(Bmax) of 56 3-aroyl-5-substituted thiophene derivatives(ASTDs) in human A1 Chinese hamster ovary(hA1 CHO) membranes by the comparative molecular field analysis(CoMFA) method. A training set of 45 compounds was used to establish the predictive model, which was verified by the test set of 17 compounds containing template molecule and 5 newly designed molecules. The cross-validation(R2 cv) and non-cross-validation(R2) coefficients of the training set were 0.655 and 0.959, respectively. The model was used to predict the activities of the compounds of the training and test sets, and the results indicated that the models had strong stability and good prediction ability. According to model analysis, the contribution of steric and electrostatic fields was 51.4% and 48.6%, respectively. Based on the 3 D contour maps, five excellent ASTDs agonists were designed, which need to be further verified by biomedical experiments.展开更多
基金supported by the National Natural Science Foundation of China(21075138)the special fund of State Key Laboratory of Structural Chemistry(20160028)
文摘In the present work,comparative molecular field analysis(CoMFA)techniques were used to perform three-dimensional quantitative structure-activity relationship(3D-QSAR)studies on the anti-tumor activity(pHi,i=1,2,3,4)of N-aryl-salicylamide derivatives against four cancer cell lines,including A549,MCF-7,SGC-7901,and Bel-7402.12 compounds were randomly selected as the training set to establish the prediction models,which were verified by the test set of 5 compounds containing template molecule.The contributions of steric and electrostatic fields to pH1,pH2,pH3,and pH4 were 23.8% and 76.2%,20.1% and 79.9%,18.7% and 81.3%,and 14.3%and 85.7%,respectively.The cross-validation(Rcv 2)and non-cross-validation coefficients(R2)were 0.826 and 0.963 for pH1,0.867 and 0.974 for pH2,0.941 and 0.989 for pH3,and 0.797 and 0.961 for pH4,respectively.The CoMFA models were then used to predict the activities of the compounds,and it was found that the models had strong stability and good predictability.Based on the CoMFA contour maps,some key structural factors responsible for the anticancer activity of the series of compounds were revealed.The results provide some useful theoretical references for understanding the mechanism of action,designing new N-aryl-salicylamide derivatives with high anti-tumor activity,and predicting their activities.
基金supported by the National Natural Science Foundation of China(21075138)special fund of State Key Laboratory of Structure Chemistry(20160028)。
文摘A 3D-QSAR study was conducted to analyze the anti-tumor activity(pHs,s=1,6)of dihydropyridin-2-one containing histone deacetylase inhibitor(DHDACi)to histone deacetylase(HDACs,s=1,6)by the comparative molecular field analysis(CoMFA)method.The predicting model was established based on the training set of 22 compounds,which was verified by the test set of 6 compounds containing template molecule.The results showed that the contributions of steric and electrostatic fields to pH1 are 37.6%and 62.4%,and those to pH6 are 44.6%and 55.4%,respectively.The coefficients of the cross-validation(Rcv2)and the non cross-validation(R2)are 0.574 and 0.947 for pH1,and 0.488 and 0.884 for pH6,respectively.The models were then used to predict the activities of the compounds for the training and testing sets.The results indicated that the models had strong stability and good predictability.Based on the 3D contour maps,several new potential inhibitors with higher anti-tumor activity were designed.However,the effectiveness of these potential inhibitors is still needed to be verified by the experimental results.
基金supported by the National Natural Science Foundation of China(21075138)special fund of State Key Laboratory of Structure Chemistry(2016028)Natural Science Foundation of Guangdong Industry Polytechnic(KJ2019-032)。
文摘A 3D-QSAR study was conducted to analyze the anti-excitatory activity(p E)of benzodiazepinooxazole derivatives to mice by the comparative molecular field analysis(CoMFA)method.Among the 54 active molecules,a training set of 46 compounds was randomly selected to construct the CoMFA model;the remaining compounds,together with template molecule(No.54)and two newly designed molecules constitute a test set of 17 compounds to validate the model.The obtained cross-validation coefficient(R_(cv)^(2)),the non-cross validation coefficient(R^(2)),and the test value F of the CoMFA model for training set are 0.516,0.899,and 57.57,respectively.The model was used to predict the activities of all compounds in the training and testing sets,and the results indicated that the model had good correlation,strong stability and good predictability.Based on the 3D contour maps,eight novel benzodiazepinooxazole derivatives with higher anti-excitatory activity were designed.However,the effectiveness of these novel benzodiazepinooxazole derivatives is still needed to be verified by the experimental results.
基金the National Natural Science Foundation of China(21075138)special fund of State Key Laboratory of Structural Chemistry(2016028)。
文摘Comparative molecular field analysis(CoMFA)techniques were used to perform three-dimensional quantitative structure-activity relationship(3D-QSAR)studies on the anti-tumor activity(pIH and pIC)of 28 fluoroquinolon-3-yl s-triazole sulfide-ketone derivatives(FQTSDs)against two cancer cell lines,including human hepatoma Hep-3B cells and human pancreatic cancer Capan-1 cells.23 compounds were randomly selected as the training set to establish the prediction models,which were verified by the test set of 6 compounds containing template molecule.The obtained cross-validation(Rcv2)and non-cross-validation correlation coefficients(R2)of the CoMFA models were 0.477 and 0.850 for pIH,and 0.421 and 0.836 for pIC,respectively.The contributions of steric and electrostatic fields to pIH were determined to be 48.1%and 51.9%,and those to pIC were 49.4%and 50.6%,respectively.The CoMFA models were then used to predict the activities of the compounds in the training and testing sets,and the models had a strong stability and good predictability.Based on the 3D contour maps,four novel FQTSDs with a higher anti-tumor activity were designed.However,the effectiveness of these novel FQTSDs is still needed to be verified by experimental results.
基金supported by the National Natural Science Foundation of China (21676292, 21075138)special fund of State Key Laboratory of Structure Chemistry (2016028)
文摘The in vitro anti-proliferative activity(pICi,i=hp,ca,hl)of fluoroquinolone(rhodanineα,β-unsaturated ketone)amide compounds,referred to as“fluoroquinolone amide derivatives(FQADs)”towards Hep-3B,Capan-1 and HL60 cells,was studied by the 3D-QSAR method of comparative molecular field analysis(CoMFA).Based on the training set of 14 compounds,the prediction model was established,which was further verified by the test set of 5 compounds with template molecule included.It is found that steric and electrostatic fields contribute 66.8%and 33.2%to pIChp,61.4%and 38.6%to pICca,and 61.5%and 38.5%to pIChl,respectively.The Rcv 2(i.e,cross-validation coefficient)is 0.324,0.381,and 0.421 for pIChp,pICca,and pIChl,respectively,while the corresponding R2(i.e,non-cross-validation coefficient)all reach 0.999.Then,the models were employed to estimate the activities of the training and test compounds,and the results show that the stability and predictability of developed models are very satisfactory.According to the contour maps of steric and electronic fields,bulky groups linked to 2-,3-,4-positions of phenyl ring,and electropositive groups near the 4-position and electronegative groups far away may increase the anti-proliferative activity.Using the information provided by the 3D contour maps,four new FQADs owing higher antiproliferative activity were designed,but their effectiveness should be further tested by experiments.
基金supported by the National Natural Science Foundation of China (21676292,21075138)special fund of State Key Laboratory of Structure Chemistry (2016028)。
文摘A three-dimensional quantitative structure-activity relationship(3 D-QSAR) study was conducted to analyze the A1 AR density(Bmax) of 56 3-aroyl-5-substituted thiophene derivatives(ASTDs) in human A1 Chinese hamster ovary(hA1 CHO) membranes by the comparative molecular field analysis(CoMFA) method. A training set of 45 compounds was used to establish the predictive model, which was verified by the test set of 17 compounds containing template molecule and 5 newly designed molecules. The cross-validation(R2 cv) and non-cross-validation(R2) coefficients of the training set were 0.655 and 0.959, respectively. The model was used to predict the activities of the compounds of the training and test sets, and the results indicated that the models had strong stability and good prediction ability. According to model analysis, the contribution of steric and electrostatic fields was 51.4% and 48.6%, respectively. Based on the 3 D contour maps, five excellent ASTDs agonists were designed, which need to be further verified by biomedical experiments.
