氨基恶唑啉呫吨类BACE1抑制剂的特征结构与作用机制

β-分泌酶(BACE1)是治疗阿尔兹海默症(AD)的潜在靶点,BACE1抑制剂的开发已成为治疗AD的重要方向。本文运用比较分子相似性指数(CoMSIA)和分子对接法对66个氨基恶唑啉呫吨类BACE1抑制剂进行模拟分析,建立了可靠的构效关系预测模型(Q₂=0.86, R_ncv2=0.97, R_pre2=0.88),揭示了影响分子抑制活性的重要特征结构信息,发现抑制剂通过与BACE1之间形成的氢键作用和π-π堆积作用占据了分泌酶的S3、S1和S2"三个活性位点。实验所得模型和信息为后续新型高效BACE1抑制剂的结构优化和改造提供了重要的理论指导。     

簇合物Co3(CO)7(μ3-S)[μ,η2-CNP(S)(C6H4OCH3)OC(Ph)CH]和Co3(CO)7(μ3-S)[μ,η2-SCNC(CH3)2P(S)(Cl)N(Ph)]的合成与晶体结构

用Co₂(CO)₈分别与两个杂环配体C(S)NHP(S)(C₆H₄OCH₃)OC(Ph)CH (L₁)和C(S)NHC(CH₃)₂P(S)(Cl)N(Ph) (L₂)反应,合成两个新的三核钴羰基硫簇合物Co₃(CO)₇(μ₃-S)[μ,η²-CNP(S)(C₆H₄OCH₃)OC(Ph)CH](Ⅰ)和Co₃(CO)₇(μ₃-S)[μ,η²-SCNC(CH₃)₂P(S)(Cl)N(Ph)](Ⅱ)。用元素分析,IR, ¹H NMR, ³¹P NMR及MS谱表征了它们的结构,同时用X射线衍射法测定了它们的晶体分子结构,二者属于三斜晶系,空间群P1,Ⅰ的晶胞参数为:a=0.84768(1)nm,b=1.19049(3)nm,c=1.43639(1)nm,α=86.926(1)°,β=81.601(3)°,γ=88.535(2)°,V=1.4318(5)nm³,Z=2,D_c=1.641g·cm^-3,F(000)=716,μ=1.893mm^-1,R=0.0602,R_w=0.1515。Ⅱ的晶胞参数为:a=1.2050(2)nm,b=1.2448(2)nm,c=0.8951(2)nm,α=97.49(1)°,β=93.552(4)°,γ=108.432(3)°,V=1.2554(3)nm³,Z=2,D_c=1.841g·cm^-3,F(000)=690,μ=2.419mm^-1,R=0.0423,R_w=0.1075。Ⅰ和Ⅱ的分子骨架Co3S为三角锥构型,S作为面桥基配体,所有CO作为端基配体与三个Co原子成键。Ⅰ中含有CoCoCN四元环组件,Ⅱ中含有CoCoSCN五元环组件。     

靛玉红类CDK1抑制剂的同源模建、分子对接及3D-QSAR研究

细胞周期蛋白依赖性激酶1的异常表达会导致G2期的停滞及多种肿瘤的发生,故CDK1近年来已成为一个理想的治疗靶点. 本文以细胞分裂调控蛋白2的同源体为模板,同源模建了CDK1的结构,并与靛玉红类小分子抑制剂进行分子对接. 分别运用三种叠合方法进行分子叠合,并在此基础上采用Sybyl 7.1中的比较分子场分析(CoMFA)模块及Discovery Studio 3.0中的三维定量构效关系(3D-QSAR)模块(以下简称为DS)分别建立了3D-QSAR模型. 其中,将分子对接叠合与公共骨架叠合联合运用的叠合方法所得3D-QSAR模型的评价参数是最佳的(CoMFA：q²=0.681,r²=0.909,r_pred.²=0.836; DS：q²=0.579,r²=0.971,r_pred.²=0.795,其中q²为交叉验证系数,r²为非交叉验证系数). 本文的研究结果在对靛玉红类小分子进行结构修饰设计出新的CDK1抑制剂方面,可提供重要的理论基础.     

三环已基锡R-扁桃酸酯配合物的合成、结构及性质研究

三环己基氢氧化锡与R-扁桃酸按物质的量比1:1在苯溶剂中反应合成了三环己基锡R-扁桃酸酯。经X-射线衍射方法测定了其晶体结构, 配合物属斜方晶系, 空间群为P2₁2₁2₁2₁, 晶体学参数a=0.806 41(4) nm, b=1.768 68(9) nm, c=1.834 79(8) nm, V=2.616 9(2) nm³, Z=4, D_c=1.318 g·cm^-3, (Mo Ka)=9.98 cm^-1, F(000)=1 080, R₁=0.039 0, wR₂=0.103 9。中心锡原子与环己基碳原子和氧原子构成畸型四面体。对其结构进行量子化学从头计算, 探讨了配合物的稳定性、分子轨道能量以及一些前沿分子轨道的组成特征。研究了配合物的热稳定性、荧光性质和电化学性能。     

(5，7，7，12，14，14-六甲基-1，4，8，11-四氮杂环十四-4,11-二烯)·双(O，O′-二(2-苯乙基)二硫代磷酸根)合铜(Ⅱ)的合成与晶体结构

本文首次报道了标题配合物［Cu(hmtade｛SSP(OCH₂CH₃ph)₃｝₃］(hmtade=5,7,7,12,14,14-六甲基-1，4，8，11-四氮杂环十四-4，11-二烯)的合成和晶体结构。该配合物属三斜晶系。空间群为P1。晶胞参数为：a=0.9457(1)mm, b=1.3001(5) nm, c=1.3182(3) nm; α=58.24(2)°, β=73.65(2)°, γ=66.27(3)°。Z=1, R=0.059, R_W=0.067。结构测定表明：(phCH₂CH₂O)₂PSS^-为单齿配体，Cu²⁺与硫和氮形成了六配位的拉长的八面体配合物，该配合物分子具有中心对称性。对其热分解进行了讨论。     

3-(水杨酰肼)-丁基-2-酮肟和两个镍的酮肟配合物的合成和晶体结构

合成了3-(水杨酰肼)-丁基-2-酮肟H₂L(1，C₁₁H₁₃N₃O₃)和2个镍的3-(水杨酰肼)-丁基-2-酮肟化合物[Ni(HL)(CH₃COO^-)(C₅H₅N)₂](2)和[Ni(HL)₂]·2C₃H₇NO（3）。化合物1晶体属单斜晶系，空间群为P2₁/n，晶体学参数为：a=0.451 87(2) nm，b=2.086 8(1) nm，c=1.224 48(9) nm，β=94.974(3)°，V=1.150 3(1) nm³，Z=4，D_c=1.358 g·cm^-3，μ=0.101 mm^-1，F(000)=496，R=0.0435，wR=0.142 5。化合物2晶体属单斜晶系，空间群为P2₁/n，晶体学参数为：a=1.362 39(8) nm，b=1.345 37(6) nm，c=1.438 54(7) nm，β=113.138(3)°，V=2.424 6(2) nm³，Z=4，D_c=1.398 g·cm^-3，μ=0.843mm^-1，F(000)=1 064，R=0.042 4，wR=0.116 6。化合物3晶体属单斜晶系，空间群为P2₁/c，晶体学参数为：a=1.104 22(7) nm，b=2.860 1(1) nm，c=1.114 13(7)nm，β=114.589(5)°，V=3.199 5(3) nm³，Z=4，D_c=1.398 g·cm^-3，μ=0.667 mm^-1，F(000)=1 416，R=0.057 6，wR=0.1535。在化合物1晶体中，酮肟分子之间通过分子间氢键形成二维网状结构。在化合物2中，每个镍(Ⅱ)离子由1个3-(水杨酰肼)-丁基-2-酮肟的2个氮原子和1个氧原子，2个吡啶分子中的2个氮原子和1个乙酸根中的1个氧原子形成畸变的NiN₄O₂八面体配位构型，存在分子内氢键O-H(肟)…O(乙酸根)和O-H(酚)…N(酰肼)。在化合物3晶体中，每个镍(Ⅱ)离子由2个3-(水杨酰肼)-丁基-2-酮肟的4个氮原子和2个氧原子配位，形成畸变的NiN₄O₂八面体配位构型。晶体中存在O-H…O和O-H…N两种分子内氢键和O-H…O分子间氢键。     

含硫、氮Schiff碱配合物—二水二分之一二甲基亚砜醋酸四邻香草醛缩胺基硫脲合镉(Ⅱ)的合成及晶体结构

X射线单晶衍射结果表明,三核镉配合物Cd₃[CH₃O(O)C₆H₃CH=NNHC(S)NH₂]4·[CH₃COO]₂·1/2[CH₃S(O)CH₃]·2H₂O为单斜晶系,空间群为C2/c,a=3.4214(4),b=1.1581(2),c=1.7932(5)nm,β=119.76(1)°,V=6.168nm³,Mr=1427.43,Z=4,D_c=1.54g/cm³,μ=12.48cm^-1,F(000)=2860,最后偏离因子R=0.066.     

氧桥双β-二亚胺钴配合物的合成及结构

Treatment of the lithium β-diketiminate [Li{N(R)C(NMe₂)C(H)C(NMe₂)N(R)}]₂ (1) (R=SiMe₃) with KOBu^t, KOH·H₂O and CoCl₂ in tetrahydrofuran gave in good yields the RO bridged β-diketiminato Co(Ⅱ) complex [Co{N(H)C(NMe₂)C(H)C(NMe₂)N(R)-( μ-OR)}]₂ (2) at ambient condition. The crystal data of (2) are as follows: crystal system, monoclinic; space group, P121/n1; a=0.963 9(3) nm, b=1.077 2(3) nm, c=2.025 0(6) nm, V=2.102 5(10) nm³, Z=2, D_c=1.186 g·cm^-3, F(000)=804, μ(Mo Kα)=0.934 mm^-1, R₁=0.047 8, wR₂=0.097 9. In solid state, complex (2) is a dimer bridged by RO (R=SiMe₃) group and the two Co²⁺ are in distorted tetrahedron. CCDC: 249253.     

氧化铁改性蛭石的制备、表征及吸附氟的特性

采用共沉淀法制备了3种不同含铁量的氧化铁改性蛭石(Verm-Fe_x,x=5,10,20),研究了纯蛭石(Verm)和Verm-Fe_x的表面性质及吸附氟的特性。与样品Verm比较,3种Verm-Fe_x中Verm的d₍₀₀₂₎层间距略有升高;Verm-Fe_x的孔体积、表面积、表面分形度均随含铁量的增加而升高,其中微孔体积和外表面积的增加幅度更明显。4种样品的等电点(IEP)也随含铁量的增加而明显升高;初始pH＝5.0时,它们的表面ζ电位分别为-16.4,-6.1,10.5和28.4 mV。4种样品对氟的等温吸附数据用单吸附位Langmuir模型拟合(R²=0.973~0.995)时,Verm的R²最高;双吸附位Langmuir模型可很好地描述3种Verm-Fe_x样品的等温吸附过程(R²=0.991~0.998);Freundlich模型对4种样品吸附数据的拟合度较差(R²=0.835~0.937),但R²随样品含铁量的增加而略微升高。初始pH=5.0时,Verm和Verm-Fe_x(x=5,10,20)对氟的最大吸附容量(q_max)分别为3.18,6.76,9.27和12.43 mg·g^-1。可见,Verm-Fe_x(尤其含铁量较高的产物)对表生环境中氟的吸附固定性能明显高于Verm。     

2-[(2-溴苯胺基)甲基]-4-氯苯酚Schiff碱及其铜配合物的合成及晶体结构

以5-氯水杨醛和邻溴苯胺为原料合成了一种新的Schiff碱配体2-[(2-溴苯胺基)甲基]-4-氯苯酚(1)(C₁₃H₉BrClNO,H₂L),继而与过渡金属铜离子配合,得到其配合物2 ([Cu(C₁₃H₈BrClNO)₂],CuL₂)。通过X-射线衍射法对配体及其配合物进行了结构表征。化合物1属正交晶系,Pbca空间群,晶胞参数a=0.710 19(12) nm,b=1.308 2(2) nm,c=2.533 3(5) nm,M_r=310.57,V=2.353 6(7) nm³,D_c=1.753 g·cm^-3,Z=8,μ=3.700 mm^-1,Z=8,F(000)=1 232,R=0.025 0,wR=0.055 5;化合物1依靠分子间的C-H…N,C-H…O,C-H…Cl 氢键及π-π堆积作用进一步联结成二维网状结构。化合物2属单斜晶系,P2₁/c空间群,晶胞参数a=0.956 8(2) nm,b= 1.085 3(3) nm,c=1.204 7(3) nm,β=105.965(7)°,M_r=682.67,V=1.202 8(6) nm³,D_c=1.885 g·cm^-3,Z=2,μ=4.481 mm^-1,F(000)=670,R=0.045 0,wR=0.122 5。2依靠分子间C-H…π作用及卤素…卤素作用进一步联结成三维网状结构。     

Molecular description of pyrimidine-based inhibitors with activity against FAK combining 3D-QSAR analysis,molecular docking and molecular dynamics

Focal adhesion kinase (FAK) is a promising target for developing more effective anticancer drugs. To better understand the structure-activity relationships and mechanism of actions of FAK inhibitors, a molecular modeling study using 3D-QSAR, molecular docking, molecular dynamics simulations, and binding free energy analysis were conducted. Two types of satisfactory 3D-QSAR models were generated, comprising the CoMFA model (R²_cv = 0.528, R²_pred = 0.7557) and CoMSIA model (R²_cv = 0.757, R²_pred = 0.8362), for predicting the inhibitory activities of novel inhibitors. The derived contour maps indicate structural characteristics for substituents on the template. Molecular docking, molecular dynamic simulations and binding free energy calculations further reveal that the binding of inhibitors to FAK is mainly contributed from hydrophobic, electrostatic and hydrogen bonding interactions. In addition, some key residues (Arg14, Glu88, Cys90, Arg138, Asn139, Leu141, and Leu155) responsible for ligand-receptor binding are highlighted. All structural information obtained from 3D-QSAR models and molecular dynamics is consist with the available experimental activities. All the results will facilitate the optimization of this series of FAK inhibitors with higher inhibitory activities.     

Steering of Configuration by (2‐Phosphanyl)phenolato Ligands in Trimethylphosphane Iron Complexes

(Diphenylphosphanyl)phenols C₆H₃(1‐OH)(2‐PPh₂)(4‐R¹)(6‐R²), abbreviated as (P^∧OH), oxidatively add to Fe(PMe₃)₄ affording hydridoiron(II) compounds fac‐FeH(P^∧O)(PMe₃)₃ ( 1 : R¹=R²=H; 2 : R¹=Me, R²=H; 3 : R¹=OMe, R²=H; 4 : R¹=Me, R²=CMe₃; 5 : R¹=R²=CMe₃) with high stereoselectivity. (2‐diphenylphosphanyl)thiophenol (P^∧SH) reacts accordingly forming fac‐FeH(P^∧S)(PMe₃)₃ ( 9 ). Complete assignment of ¹H, ¹³C, and ³¹P signals is achieved by 2D heteronuclear shift correlations. 4,6‐Di‐tert‐butyl‐(2‐diphenylphosphanyl)phenol reacts with FeI(Me)(PMe₃)₄ to form FeI(P^∧O)(PMe₃)₂ ( 6 ). 4 , 5 and 9 under 1 bar of CO are converted to monocarbonyl derivatives FeH(P^∧X)(CO)(PMe₃)₂ ( 7 , 8 : X = O; 10 : X = S) which in solution form mixtures of two isomers A and B . 4 and 5 react with their parent phosphanylphenols, respectively, to give diamagnetic complexes Fe(P^∧O)₂(PMe₃) ( 11 , 12 ) which dissociate trimethylphosphane to give paramagnetic compounds Fe(P^∧O)₂. The same phosphanylphenols react with FeCl₃ to afford racemic mixtures of complexes Fe(P^∧O)₃ ( 13 , 14 ). Structural data were also obtained from single crystals of compounds 1 , 5 , and 11 .     

Studies on molecular mechanism between SHP2 and pyridine derivatives by 3D-QSAR,molecular docking and MD simulations

BackgroundSrc homology 2 (SH2)-containing protein tyrosine phosphatase 2 (SHP2) as a major phosphatase would affect the development of tumors by regulating several cellular processes, and is a significant potential target for cancer treatment.MethodsIn the present work, a series of pyridine derivatives possessing a wide range of inhibitory activity was employed to investigate the structural requirements by developing three dimensional quantitative structure–activity relationship (3D-QSAR) models using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. The results show that CoMFA (R²_cv = 0.646, R²_pred = 0.5587) and CoMSIA (R²_cv = 0.777, R²_pred = 0.7131) have excellent stability and predictability. The relationship between the inhibitory activity and structure of the inhibitors was analyzed by the derived contour maps. Furthermore, the QSAR models were validated by molecular docking and molecular dynamics simulations, which were also applied to reveal the potential molecular mechanism of these inhibitors.FindingsIt was found that Arg110, Asn216, Thr218, Thr252 and Pro490 play a crucial role in stabilizing the inhibitors. Additionally, MM/PBSA calculations provided the binding free energy were also conducted to explain the discrepancy of binding activities. Overall, the outcomes of this work could provide useful information and theoretical guidance for the development of novel and potent SHP2 inhibitors.     

3D-QSAR and Docking Studies of Pyrido[2,3-d]pyrimidine Derivatives as Wee1 Inhibitors

In order to investigate the inhibiting mechanism and obtain some helpful information for de-signing functional inhibitors against Wee1, three-dimensional quantitative structure-activity relationship (3D-QSAR) and docking studies have been performed on 45 pyrido[2,3-d] pyrim-idine derivatives acting as Wee1 inhibitors. Two optimal 3D-QSAR models with significant statistical quality and satisfactory predictive ability were established, including the CoMFA model (q²=0.707, R²=0.964) and CoMSIA model (q²=0.645, R²=0.972). The external val-idation indicated that both CoMFA and CoMSIA models were quite robust and had high predictive power with the predictive correlation coefficient values of 0.707 and 0.794, essen-tial parameter r²_m values of 0.792 and 0.826, the leave-one-out r²_m(LOO) values of 0.781 and 0.809, r²_m(overall) values of 0.787 and 0.810, respectively. Moreover, the appropriate binding orientations and conformations of these compounds interacting with Wee1 were revealed by the docking studies. Based on the CoMFA and CoMSIA contour maps and docking analyses, several key structural requirements of these compounds responsible for inhibitory activity were identified as follows: simultaneously introducing high electropositive groups to the sub-stituents R1 and R5 may increase the activity, the substituent R2 should be smaller bulky and higher electronegative, moderate-size and strong electron-withdrawing groups for the substituent R3 is advantageous to the activity, but the substituent X should be medium-size and hydrophilic. These theoretical results help to understand the action mechanism and design novel potential Wee1 inhibitors.     

1,2-dihydro-1,2,4,3-triazaphospholo[4,5-a]quinolines as electron carriers in the electrochemical reduction of 1,1-dichloro-2-methoxycarbonyl-2-methylcyclopropane

Electrochemical reduction of 1-X-1-R¹-5-methyl-2-phenyl-7-R²-1,2-dihydro-1,2,4,3-tri-azaphospholo[4,5-a]quinolines1–5 (1: X is the lone electron pair (LEP), R¹=Et₂N, R²=Me;2: X=LEP, R¹=Ph, R²=H;3: X=S, R¹=Et₂N, R²=H;4: X=LEP, R¹=Et₂N, R²=H;5: X=LEP, R¹=MeO, R²=H) in DMF with 0.1M Bu₄NI as supporting electrolyte is reversible and results in metastable radical anions. Radical anions of compounds1–3 efficiently reduce 1,2-dichloro-2-methoxycarbonyl-2-methylcyclopropane both in the presence and in absence of Ni¹¹ ions. Effective reduction rate constants have been evaluated. Translated fromIzvestiya Akademii Nauk. Seriya Khimicheskaya, No. 11, pp. 2088–2091, November, 1999.     

Comparative QSAR studies using HQSAR,CoMFA, and CoMSIA methods on cyclic sulfone hydroxyethylamines as BACE1 inhibitors

The inhibition of β-secretase (BACE1) is currently the main pharmacological strategy available for Alzheimer’s disease (AD). 2D QSAR and 3D QSAR analysis on some cyclic sulfone hydroxyethylamines inhibitors against β-secretase (IC₅₀: 0.002–2.75 μM) were carried out using hologram QSAR (HQSAR), comparative molecular field analysis (CoMFA), and comparative molecular similarity indices analysis (CoMSIA) methods. The best model based on the training set was generated with a HQSAR q² value of 0.693 and r² value of 0.981; a CoMFA q² value of 0.534 and r² value of 0.913; and a CoMSIA q² value of 0.512 and r² value of 0.973. In order to gain further understand of the vital interactions between cyclic sulfone hydroxyethylamines and the protease, the analysis was performed by combining the CoMFA and CoMSIA field distributions with the active sites of the BACE1. The final QSAR models could be helpful in the design and development of novel active BACE1 inhibitors.     

Formation and Dissociation of Tetrahedral Nickel(II) and Cobalt(II) Complexes of ‘Dithioimidodiphosphato’ Ligands,Measurement of Kinetically Determined Stability Constants,and Kinetic Investigations of the Rapid Formation of Tetrahedral Bis(ligand)copper(II) Complexes and Their Rates of Reduction to Trinuclear Copper(I) Species

The stopped‐flow technique was used to measure the rates of formation and dissociation of tetrahedral [ML₂] complexes (M²⁺=Ni²⁺ or Co²⁺) of four bidentate S₂‐donor ‘dithioimidodiphosphato’ ligands L^? (HL=[R¹R²P(?S)]NH[P(?S)R³R⁴], R¹ to R⁴=alkyl) at 25.0° in MeOH/H₂O 95 : 5 (v/v) solution and in the presence of either MOPS (=3‐(morpholin‐4‐yl)propane‐1‐sulfonic acid) or 2,6‐lutidine (=2,6‐dimethylpyridine) buffers. The kinetically determined equilibrium formation constants for [ML]⁺ ions (M=Ni or Co) are 10^?5 K=0.50±0.01 or 1.64±0.07 l mol^?1 for L=L³ (R¹=R²=Me(CH₂)₂CH(Me), R³=R⁴=Me₂CH), 1.27±0.02 or 7.93±0.09 l mol^?1 for L=L⁷ (R¹ to R⁴=Me₂CHCH₂), 0.88±0.04 or 3.84±0.13 l mol^?1 for L=L⁸ (R¹ to R⁴=Me₂CH), and in case of Ni²⁺ 1.88±0.04 l mol^?1 for L=L⁶ (R¹=R³=Bu, R²=R⁴=^tBu) (see Table 3; for L³ and L⁶–L⁸, see Table 1). Whereas the tetrahedral Ni²⁺ complexes dissociate more slowly than the analogous Co²⁺ species, in all cases, the Co²⁺ complexes are more stable than those of Ni²⁺ due to their larger formation rate constants (Table 3). Reactions of Cu²⁺ with eight ligands HL (R¹ to R⁴=alkyl, alkoxy, aryl, and aryloxy) show that formation of intensely colored tetrahedral [Cu^IIL₂] species is too fast be measured with the available stopped‐flow apparatus (t_1/2<2 ms), but the subsequent rates of reduction of [Cu^IIL₂] to give trinuclear products [Cu^I₃L₃] are measurable. An X‐ray analysis establishes the structure of one of the [Cu₃L₃] complexes, where R¹=R²=Me₂CHO and R³=R⁴=2‐(tert‐butyl)phenyl (L=L⁵), and a multiwavelength stopped‐flow kinetic experiment establishes the spectrum of a tetrahedral [Cu^IIL₂] species prior to the reduction reactions. The redox reactions proceed at 25.0° with first‐order rate constants in the range 0.285 s^?1 (R¹ to R⁴=PhO; L=L¹¹) to 2.58?10^?4 s^?1 (R¹ to R⁴=Me₂CHCH₂; L=L⁷) (Table 4).