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| 1 | 3D-QSAR Models of Anti-tumor Activity for Histone Deacetylase Inhibitors Containing Dihydropyridin-2-one显示文摘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. | 冯惠 堵锡华 陈艳 冯长君 | 2020 | Chinese Journal of Structural Chemistry2020，39，5： | 10 |
| 2 | CoMFA Model of Anti-tumor Activity for Fluoroquinolon-3-yl s-Triazole Sulfide-ketone Derivatives and Implications for Molecular Design显示文摘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. | 冯惠 冯长君 | 2021 | Chinese Journal of Structural Chemistry2021，40，6： | 5 |
| 3 | Study on the Biological Activity of 3-Aroyl-5-substituted Thiophene Derivatives Based on the CoMFA Method显示文摘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. | FENG Hui FENG Chang-Jun CAO Jing-Pei | 2020 | Chinese Journal of Structural Chemistry2020，39，11： | 3 |
| 4 | CoMFA Study on Anti-proliferative Activity of Fluoroquinolone Amide Derivatives显示文摘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. | 冯惠 曹景沛 冯长君 | 2022 | Chinese Journal of Structural Chemistry2022，41，3： | 2 |
| 5 | CoMFA Model and Molecular Design of Anti-excitatory Activity for Benzodiazepinooxazole Derivatives against Mice显示文摘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. | 朱利兰 秦正龙 冯长君 | 2021 | Chinese Journal of Structural Chemistry2021，40，8： | 2 |
| 6 | Molecular Modeling Studies of 4-Hydroxyamino α-Pyranone Carboxamide Analogues as Hepatitis C Virus Inhibitor Using 3D-QSAR and Molecular Docking显示文摘In this paper, 42 4-hydroxyamino α-pyranone carboxamide analogues as Hepatitis C Virus(HCV) inhibitor 3 D-QSAR model was built based on Topomer CoMFA. The non-cross-validation(r2), cross-validation(q2), correlation coefficient of external validation(Q ext2), non-cross validated standard error(SD), standard error of prediction(SDCV) and F are 0.909, 0.615, 0.967, 0.13, 0.28 and 37.287, respectively. The obtained Topomer CoMFA model has good estimation stability and prediction capability. Topomer Search was employed as a tool for virtual screening in lead-like compounds in the ZINC database. Then, 6 R1 groups and 4 R2 groups with higher contribution values were employed to alternately substitute for the R1 and R2 of the template compound 21 with the highest bioactivity. As a result, 22 new molecules with higher activity than that of the template molecule were designed successfully. The Topomer Search technology could be effectively applied to screen and design new 4-hydroxyamino α-pyranone carboxamide analogues. The molecular docking method was also used to study the interactions of these drugs by docking the ligands into HCV active site, which revealed the likely bioactive conformations. This study showed extensive interactions between the 4-hydroxyamino α-pyranone carboxamide analogues and the active sites of HCV(residues TYR466, GLN384, TYR383 and ASP335). The design of potent new inhibitors of HCV can get useful insights from these results. | 仝建波 吴鲁阳 雷珊 王天浩 马养民 | 2020 | Chinese Journal of Structural Chemistry2020，39，6： | 1 |
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