应用比较分子力场分析(Comparative molecular force field analysis,CoMFA)方法研究了18种氟喹诺酮C-3噻唑酮衍生物对胰腺Capan-1细胞的体外抗增殖活性(p A).训练集中14个化合物用于建立预测模型,测试集6个化合物(含模板分子和新设计的...应用比较分子力场分析(Comparative molecular force field analysis,CoMFA)方法研究了18种氟喹诺酮C-3噻唑酮衍生物对胰腺Capan-1细胞的体外抗增殖活性(p A).训练集中14个化合物用于建立预测模型,测试集6个化合物(含模板分子和新设计的1个分子)作为模型验证.通过基于配体的原子契合的叠合方式,获得了训练集的统计显著模型.CoMFA模型使用3个主成分给出交叉验证系数(R 2 cv)值为0.436,非交叉验证系数(R 2)值为0.956,估计F值为72.217.结果显示,模型具有良好的稳健性与预测能力.基于CoMFA等高线图,揭示了该系列化合物抗增殖活性的一些关键结构因素.这些结果为理解其作用机制、设计具有高抗肿瘤活性的新型氟喹诺酮C-3噻唑酮类化合物提供有益的理论参考.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
Aiming to better understand the physiochemical properties of lignite, we select Zhaotong lignite as object and adopt simulation and experiment data to construct its molecular structure. Firstly, the important paramete...Aiming to better understand the physiochemical properties of lignite, we select Zhaotong lignite as object and adopt simulation and experiment data to construct its molecular structure. Firstly, the important parameters including carbon skeleton, valence state and functional group of the sample are obtained by ultimate analysis, 13 C NMR, XPS and Py-GC/MS. Results indicate that the ratio of aromatic carbon and aromatic bridge carbon to surrounding carbon of the sample are 40.32% and 0.14, respectively. Such results imply that the aromatic structure of the sample is dominated by benzene and naphthalene. Moreover, the ratio of aliphatic carbon is 51.55%, and the aliphatic structure is mainly comprised by methyl, methylene, quaternary carbon and oxygen-aliphatic carbon. Oxygen atoms principally exist in ether, carbonyl and carboxyl groups, of which ether accounts for 70.2%. Additionally, the contents of pyridine, pyrrole and quaternary nitrogen are 25.2%, 46.3% and 13.0%, respectively. Based on the aforementioned results, the molecular structure model of Zhaotong lignite is constructed by the method of computer-aided molecular design. Subsequently, the molecular formula of Zhaotong lignite is calculated as C;H;O;N;. Finally, in order to verify the reasonability of the constructed model, the 13 C NMR of the molecular structure model is simulated by employing the basis set of GIAO/6-31G at the Gaussian 09 computing platform. These simulated results agree well with the experimental ones, which suggests that the molecular structure model of Zhaotong lignite is accurate and reasonable.展开更多
文摘应用比较分子力场分析(Comparative molecular force field analysis,CoMFA)方法研究了18种氟喹诺酮C-3噻唑酮衍生物对胰腺Capan-1细胞的体外抗增殖活性(p A).训练集中14个化合物用于建立预测模型,测试集6个化合物(含模板分子和新设计的1个分子)作为模型验证.通过基于配体的原子契合的叠合方式,获得了训练集的统计显著模型.CoMFA模型使用3个主成分给出交叉验证系数(R 2 cv)值为0.436,非交叉验证系数(R 2)值为0.956,估计F值为72.217.结果显示,模型具有良好的稳健性与预测能力.基于CoMFA等高线图,揭示了该系列化合物抗增殖活性的一些关键结构因素.这些结果为理解其作用机制、设计具有高抗肿瘤活性的新型氟喹诺酮C-3噻唑酮类化合物提供有益的理论参考.
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 (21766013)Analysis and Testing Foundation of Kunming University of Science and Technology (2020M20192208021)
文摘Aiming to better understand the physiochemical properties of lignite, we select Zhaotong lignite as object and adopt simulation and experiment data to construct its molecular structure. Firstly, the important parameters including carbon skeleton, valence state and functional group of the sample are obtained by ultimate analysis, 13 C NMR, XPS and Py-GC/MS. Results indicate that the ratio of aromatic carbon and aromatic bridge carbon to surrounding carbon of the sample are 40.32% and 0.14, respectively. Such results imply that the aromatic structure of the sample is dominated by benzene and naphthalene. Moreover, the ratio of aliphatic carbon is 51.55%, and the aliphatic structure is mainly comprised by methyl, methylene, quaternary carbon and oxygen-aliphatic carbon. Oxygen atoms principally exist in ether, carbonyl and carboxyl groups, of which ether accounts for 70.2%. Additionally, the contents of pyridine, pyrrole and quaternary nitrogen are 25.2%, 46.3% and 13.0%, respectively. Based on the aforementioned results, the molecular structure model of Zhaotong lignite is constructed by the method of computer-aided molecular design. Subsequently, the molecular formula of Zhaotong lignite is calculated as C;H;O;N;. Finally, in order to verify the reasonability of the constructed model, the 13 C NMR of the molecular structure model is simulated by employing the basis set of GIAO/6-31G at the Gaussian 09 computing platform. These simulated results agree well with the experimental ones, which suggests that the molecular structure model of Zhaotong lignite is accurate and reasonable.
