Synthesis,antifungal activity and in vitro mechanism of novel 1-substituted-5-trifluoromethyl-1H-pyrazole-4-carboxamide derivatives

Inspired by the wide application of amides in plant pathogens, a series of novel 1-substituted-5-trifluoromethyl?1H?pyrazole-4-carboxamide derivatives were designed and synthesized. Bioassay results indicated that some target compounds exhibited excellent and broad-spectrum in vitro and certain in vivo antifungal activities. Among them, the in vitro EC₅₀ values of Y₁₃ against G. zeae, B. dothidea, F. prolifeatum and F. oxysporum were 13.1, 14.4, 13.3 and 21.4 mg/L, respectively. The in vivo protective activity of Y₁₃ against G. zeae at 100 mg/L was 50.65%. SAR analysis revealed that the phenyl on the 1-position of the pyrazole ring was important for this activity. An antifungal mechanism study of Y₁₃ against G. zeae demonstrated that this compound may disrupt the cell membrane of mycelium, thus inhibiting the growth of fungi. These mechanistic study results were inconsistent with those for traditional amides and may provide a novel view for deep study of this series of pyrazole carboxamide derivatives.     

Facet diagrams for quantum similarity data

The objective of this work is to demonstrate that an appropriate treatment of quantum similarity matrices can reveal hidden data grouping related to relevant structural features and even to biological properties of interest. Classical scaling is used here to extract the information contained in the similarity relationships between the elements of a molecular set. Facet theory is invoked to relate, in a qualitative way, the spatial regions to structural characteristics as well as to properties of interest. Two application examples are discussed: the Cramer steriod set and a benzene, toluene and xylene derivatives set.     

3-取代苄氧基-6-取代氨基哒嗪衍生物的合成及其除草活性

通过3-取代苄氧基-6-氟哒嗪在75～80 ℃与二甲胺的绝对无水乙醇溶液封管反应, 或在回流条件下分别与吗啡啉或哌啶反应, 合成一系列新颖的3-取代苄氧基-6-取代氨基哒嗪类化合物, 它们的结构均经IR, ¹H NMR和元素分析确证. 初步的除草活性测定结果表明, 该类化合物具有一定的除草活性, 讨论了它们的结构与除草活性的关系.     

N,N-二甲基-2-溴苯乙胺类衍生物对大鼠生物活性的三维构效关系研究

N,N-二甲基-2-溴苯乙胺类衍生物是一类有效的肾上腺素阻断剂, 具有较高的生物活性. 通过比较分子力场分析(CoMFA)方法, 建立了22个标题化合物对大鼠阻断活性的三维定量结构-活性关系(3D-QSAR)模型. 该模型显示立体场、静电场对生物活性贡献分别为67.3%, 32.7%, 其中立体场与受体之间的相互作用是造成阻断剂生物活性差别的主要因素. 此3D-QSAR模型的交叉验证系数q²＝0.862, 传统的相关系数(非交互验证系数)R²＝0.962. 该模型给出的预测值与实验值非常接近, 其方差比F＝503.7, 估计标准误差(S)为0.11. 根据CoMFA模型的立体场、静电场三维等值线图不仅直观地解释了结构与活性的关系, 而且为进一步设计高活性的标题化合物提供一定的理论依据.     

Integration of genetic virtual screening patterns and latent multivariate modeling techniques for QSAR optimization based on combinations and/or interactions between peptides and proteins

Both the concept and the model of snug quantitative structure-activity relationship (QSAR) were pro-posed and developed for molecular design through constructing QSAR based on some known mode of receptor/ligand interactions. Many disadvantages of traditional models can be avoided by using the proposed method because the traditional models only determined upon molecular structural features in sample sets themselves. A genetic virtual screening of peptide/protein combinations (GVSPPC) is proposed for the first time by utilizing this idea to examine peptide/protein affinity activities. A genetic algorithm (GA) was developed for screening combinative targets with an interaction mode for virtual receptors. GVSPPC succeeds in disposing difficulties in rational QSAR,in order to search for the ligand/receptor interactions on conditions of unknown structures. Some bioactive oligo-/poly-peptide systems covering 58 angiotensin converting enzyme (ACE) inhibitors and 18 double site mutation residues in camel antibody protein cAb-Lys3 were investigated by GVSPPC with satisfactory results (R 2 cu>0.91,Q 2 cv > 0.86,ERMS=0.19-0.95),respectively,which demonstrates that GVSPPC is more inter-pretable in the ligand-receptor interaction than the traditional QSAR method.     

Synthesis and Antitumor Activities of 26-O-tert-Butyldimethylsiliyl Protodisogenyl β-D-Glucopyranoside

It was well known that natural products are an excellent source of chemical structures with a broad range of promising pharmaceutical properties, including antitumor activity1. Saponins, a group of secondary metabolites presented in a wide variety of plan…     

基于粒子群优化算法的神经网络在农药定量构效关系建模中的应用

神经网络模型能有效模拟非线性输入输出关系,但其常规训练算法为BP或其它梯度算法,导致训练时间较长且易陷入局部极小点。本实验探讨用粒子群优化算法训练神经网络,并应用到苯乙酰胺类农药的定量构效关系建模中,对未知化合物的活性进行预测来指导新药的设计和合成。仿真结果表明,粒子群优化算法训练的神经网络不仅收敛速度明显加快,而且其预报精度也得到了较大的提高。     

活性维生素D3类似物的合成及构效关系研究

1α,25-二羟基维生素D₃(1α,25-(OH)₂-D₃,125D)是维生素D中最具生理活性的代谢产物,但因高钙血症副反应而限制其临床应用。从对构效关系的研究出发,迄今已合成三千多种类似物。本文综述了近年来对某些A环修饰(C2位修饰、C3位修饰、芳香A环类似物、A环开环类似物)、侧链修饰、CD环修饰、seco-B环修饰和非开环甾体的活性维生素 D₃ 类似物的设计、合成以及构效关系的研究,旨在为新型较佳活性维生素D₃类似物的合成及临床开发提供参考。     

基于配体与受体结构的酪氨酸酶抑制剂定量构效关系分析

酪氨酸酶是细胞内催化合成黑素的关键酶。 理解酪氨酸酶抑制剂结构与活性之间的关系对于设计新药和化妆品具有重要意义。 然而,酪氨酸酶抑制剂的定量构效关系仍不清楚。 本文利用配体和结构描述符构建了隐式和显式模型,阐明了酪氨酸酶抑制剂定量构效关系。 隐式模型的相关系数R高达0.961,显式模型的相关系数为0.775。 两个模型很好地预测了3个茶多酚的酪氨酸酶抑制活性,表儿茶素没食子酸酯(ECG)>表没食子儿茶素没食子酸酯(EGCG)>没食子酸(G)。 相关性分析发现,抑制剂与酪氨酸酶结合引起的构象熵损失与抑制剂的活性密切相关。 具有较少构象熵损失的ECG在4种茶多酚中具有较高酪氨酸酶抑制活性。 结合自由能计算也证实ECG与酪氨酸酶的结合能力最强。 此外,通过分解结合自由能发现,酪氨酸酶活性中心的氨基酸残基(His57、His201、Asn202、His205、Glu192和Val215)与抑制剂形成了较强的范德华和静电相互作用,进而稳定了复合物结构。