基于压力的速率方程的应用

通过具体实例说明对于气相反应,使用基于压力的速率方程解题比使用基于浓度的速率方程更直接﹑更简便。总结了具有简单级数的反应的基于压力的速率方程及其特征。     

基于Matlab的二元共聚合反应的竞聚率的求解

以直线交叉法为依据,根据最小二乘原理,采用Matlab GUI工具设计了一款用于计算二元共聚合反应竞聚率的图形用户程序。与传统的求解竞聚率方法相比,该图形用户程序具有设计原理简单、计算快捷的特点;同时程序提供界面简洁、交互友好的数据输入平台,实用性强。实际应用表明:采用该款图形用户程序所测得的数据与微机动态搜索法、Tidwell-Mortimer法相近,而比采用斜率截距法计算竞聚率的最小差方和更小,并且也避免了采用斜率截距法由于所用方程的非对称性造成的计算结果的不一致性。     

基于环糊精的新材料的研究进展

从纳米粒子、水凝胶、纤维材料和环糊精高分子等方面介绍了近年来以环糊精为基础研制的新材料的研究进展。目前以环糊精为基础的纳米粒子材料有核壳结构的纳米粒子、环糊精的化学接枝与共聚、环糊精与无机非金属材料的复合和含环糊精的囊泡材料;以环糊精为基础的凝胶材料有水凝胶和有机凝胶两种材料;此外还有以环糊精为基础的纤维材料、环糊精高...     

某些助剂对明胶的凝胶强度的影响的研究

众所周知,物理力学性能是照相明胶的一种很重要的属性。在各种彩色及黑白胶片都面向高温快速加工发展的今天,这种属性就显得更为重要。提高胶片的物理力学性能,一方面要从提高明胶本身的胶冻强度着手,例如减少明胶中溶胶组份(分子量小、冷水中溶解度高),提高明胶中的α和β组份的相对含量,减少分子量过大的组份等等。     

酯的水解实验的改进

该文对现行的高中化学 (试验修订本 )第二册中关于乙酸乙酯水解实验的不足之处进行了分析,并提出了改进的方法,对其实验内容和实验效果进行了讨论。     

体毛的化学和头发的保护

本文介绍了体毛结构和功能的一般化学基础,讨论了毛发的化学特征如氨基酸及微量元素的组成和应用依据,研究了护发的化学方法。作为皮肤附属器官的体毛,特别是头发,除一般的美容化妆外,近10多年来还由于人体微量元素研究的进展而引起人们的重视。曾多次召开过国际人发研究学术讨论会[1],国际原子能研究机构（IAEA）还在全球范围内收集了人发数据,并发布了人发标样（IAEA-HH-1）,我国也研制了类似的标准物。在各种病因诊断、法医学研究中,头发分析是重要项目。而在日常消费新潮中,青年人也常把相当多的精力和金钱投放在发型的美化上。因此体毛的化学和头发的保护问题,日益成为化学与生活联系的重要渠道,其社会意义已不容忽视。本文尝试就毛发的结构、功能、组成及可能的病交的化学基础和有关化妆的化学信息作一简介。     

色彩斑斓的自然,五颜六色的化学

通过介绍菠菜中色素的提取分离及紫甘蓝中花青素的提取两个实验,揭示大自然色彩背后的化学奥秘,并介绍了两个实验作为科普实验项目在化学科普活动中展示和互动的效果及特点。     

地球的内部可能是湿润的

在地球的低层地幔下 ,可能存在着比现在的海洋还要多 4倍的水 ,这是日本工业大学的Ｍ .Ｍｕｒａｋａｍｉ和他的同事们最近估测出来的。日本地球科学家们利用了一种多功能钻探仪 ,通过对 3种据信包含低层地幔中在高温高压下生成的主要矿物组成的分析后 ,得到了这个结论。这 3种矿物是 :Ｍｇ ｐｅｒｏｖｓｋｉｔｅ ,Ｃａ ｐｅｒｏｖｓｋｉｔｅ和Ｍａｇｎｅｓｉｏｗ櫣ｓｔｉｔｅ。再利用ＳＩＭＳ对矿物中溶解的氢的含量进行测量 ,矿物学家认为氢是水的标记。发现这3种矿物的含水量都相当可观 ,大约在 0 .2 %至 0 .4 %(重量比率 )之间。用红外…     

一氧化碳的发现与燃素说的终结

考察一氧化碳的发现过程可知,这不仅是一种化学物质的发现史,也是燃素说的兴衰史。笃信燃素说的英国科学家普里斯特利首先在实验室制取并研究了它,称之为重可燃空气。相信氧化学说的英国化学家克鲁克香克用实验证明了它是一氧化碳,使当时的科学家大都皈依氧化学说,从而终结了燃素说。这段历史让人们认识到创新的理论思维对于科学研究的重要意义。     

基于钯催化的Catellani反应的Rhazinal的高效全合成

Rhazinal是Rhazinilam家族中的一员,其家族都含有一个因环张力而形成的吡咯-苯胺手性轴,一个高张力的九元内酰胺,一个全碳季碳手性中心以及[3.4]并环结构.Rhazinilam被发现是一个很好的多种癌细胞的抑制剂,具有诱导和促进微管蛋白的聚合、防止解聚、稳定微管的作用.自其被分离之后得到了有机和生物有机化学家的广泛重视,至今已有多个其家族成员的全合成的报道.中国科学技术大学化学系顾振华小组将Pd催化的Catellani反应首次成     

非肽类凝血酶抑制剂的比较分子力场分析

在血栓症和止血疗法中凝血酶起重要的生物调节作用，凝血酶抑制剂由于基溶 血栓作用成为药物设计的热点，对非肽类芳基磺酸酯系列凝血酶抑制剂进行了三维 定量构效关系研究。用Autodock方法和比较分子力场分析相结合构建了该类分子的 定量构效关系模型，得到三维等值线图。模型的传统相关系数r~2=0.956，交叉验 证系数q~2=0.681, F_(4,16) = 85.985，标准偏差S = 0.158。该模型为凝血酶抑 制剂的进一步结构改造提供了有益的启示。     

几种改进的CoMFA方法比较研究血小板活化因子拮抗剂

由于传统的比较分子场分析(CoMFA)方法本身存在一些缺陷，使得分子的叠合 规则以及叠合分子的空间取向和空间位置等因素对q~2的影响很大，因此相继提出 了几种改进的CoMFA方法。为了优化CoMFA结果，应用传统的CoMFA方法和交叉验证 的R~2引导的区域选择法(q~2-GRS)、全取向搜索法（AOS）、全空间搜索法（APS） 以及比较分子相似性指数(CoMSIA)等四种改进的CoMFA方法，对18个pinusolide类 衍生物这类新发现的血小板活化因子（PAF）拮抗剂进行了比较研究。结果表明四 种改进的CoMFA方法得到的q~2值均比传统CoMFA的高。q~2-GRS方法得到的q~2值有 所提高，但综合结果并不理想，AOS与APS得到的q~2较为理想，而在CoMSIA中， q~2几乎不受空间取向或空间位置的影响。同时我们引人基于样本的偏最小二乘法 （SAMPLS）取代原AOS／APS程序中的传统PLS进行统计分析，明显提高了其运行速 度。最后，根据q~2最高的CoMFA模型和CoMSIA模型设计了几个预测活性更高的 pinusolide类似物。     

Pharmacophore elucidation and 3D-QSAR analysis of a new class of highly potent inhibitors of acid ceramidase based on maximum common substructure and field fit alignment methods

Comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA) studies have been carried on a series of 2,4-dioxopyrimidine-1-carboxamides as acid ceramidase inhibitors. Two alignment rules for the compounds were defined using maximum common substructure and field fit. The best orientation was then searched by all-orientation search strategy, to minimize the effect of the initial orientation of the structures. The Kennard Stone algorithm was used to divide the entire set into training (25 compounds) and test (7 compounds) sets. Pharmacophore model identification was also performed using DISCOtech algorithm and refinement was carried out using GASP, to highlight important structural features that could be responsible for the inhibitory activity. All constructed models showed appropriate statistical parameters in terms of q ² and r _pred ² . Based upon the information obtained from CoMFA, CoMSIA, and developed pharmacophore pattern, some key features that may be used to design new inhibitors for acid ceramidase have been identified.     

Molecular Modeling and Design of Arylthioindole Derivatives as Tubulin Inhibitors

Three-dimensional quantitative structure activity relationship （3D-QSAR） and docking studies of a series of arylthioindole derivatives as tubulin inhibitors against human breast cancer cell line MCF-7 have been carried out. An optimal 3D-QSAR model from the comparative molecular field analysis （CoMFA） for training set with significant statistical quality （R2=0.898） and predictive ability （q2=0.654） was established. The same model was further applied to predict pIC50 values of the compounds in test set, and the resulting predictive correlation coefficient R2（pred） reaches 0.816, further showing that this CoMFA model has high predictive ability. Moreover, the appropriate binding orientations and conformations of these compounds interacting with tubulin are located by docking study, and it is very interesting to find the consistency between the CoMFA field distribution and the 3D topology structure of active site of tubulin. Based on CoMFA along with docking results, some important factors improving the activities of these compounds were discussed in detail and were summarized as follows： the substituents R3-R5 （on the phenyl ring） with higher electronegativity, the substituent R6 with higher eleetropositivity and bigger bulk, the substituent R7 with smaller bulk, and so on. In addition, five new compounds with higher activities have been designed. Such results can offer useful theoretical references for experimental works.     

3D-QSAR of Benzothiazole Derivatives as Potent Anticancer Agents

Comparative molecular field analysis (CoMFA) method was applied to study three-dimensional quantitative structure activity relationship (3D-QSAR) of a series of benzothiazole derivatives as potent anticancer agents. The CoMFA model of cross-validation and the partial-least-square (PLS) model of non cross-validation have been well established. The best CoMFA model gives a good cross-validation coe±cient of 0.642 and a conventional correlation coe±cient of 0.976. Moreover, the estimated standard error is 0.161 and the statistical square deviation ratio F(3;20) is 111.4. The statistical parameters of the best CoMFA model show this model is reasonable and has predictive ability. The CoMFA results suggest that an electron-withdrawing group or atom (e.g. F atom) linking to the first atom (C19) of substituent R can increase the positive charges of C19 and its fi-site atoms, which lie in the blue-colored regions in the electrostatic field contour map of CoMFA, and thus can improve the activity of the compound. Meanwhile, selecting an R with an appropriatevolume is also advantageous for improving the activity.     

Comparative molecular field analysis study of stilbene derivatives active against A549 lung carcinoma

A series of 43 stilbene derivatives that showed cytotoxicity against human lung carcinoma (A549) was analyzed using comparative molecular field analysis (CoMFA) for defining the hypothetic pharmacophore model. The polyoxylated stilbenes were found to be active inhibitors of tubulin polymerization. Several cis-stilbenes are structurally similar to combretastatins. However, the trans-stilbenes are assumed to be close to resveratrol found in grapes and have been reported to be potential cancer chemopreventive agents by modulating the initiation, promotion, and progression of the carcinogenic process. With several synthesized compounds that were evaluated for antitumor cytotoxicity against human lung tumor cells (A549), the stilbene derivatives were subjected to CoMFA. To perform systematic molecular modeling of these compounds, a conformational search was carried out based on the precise dihedral angle analysis of the lead compound (1p). The X-ray crystallographic structure of combretastatin A-1 was also used for defining the active conformers of the compounds. After determining the energy-minimized conformers of the lead compound (1p), CoMFA was performed using five different alignments. The three dimensional (3D)-quantitative structure-activity relationship study resulted in reasonable cross-validated, conventional r(2) values equal to 0.640 and 0.958, respectively.     

Discodermolide及其衍生物三维定量构效关系的研究

Discodermolide是一种新颖的作用于微管蛋白的抗肿瘤化合物, 具有良好的药用前景. 为了设计出药效更好的类似物, 我们用比较分子力场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)对discodermolide及其衍生物进行了三维定量构效关系(3D-QSAR)的研究, 并建立了相关的预测模型. 其中, CoMFA模型的交叉验证相关系数(q2)为0.592, 非交叉验证相关系数(r2)为0.982, 标准偏差(SEE)为0.094, F值为119.761; CoMSIA模型的q2为0.544, r2为0.980, SEE为0.098, F值为108.715. 计算结果表明, 获得的CoMFA和CoMSIA模型具有良好的预测能力, 可以应用于指导该类化合物的设计.     

A selectivity study of benzenesulfonamide derivatives on human carbonic anhydrase II/IX by 3D-QSAR,Molecular Docking and Molecular Dynamics Simulation

Nowadays, different approaches have been pursued with the intent to develop sulfonamide-like carbonic anhydrase inhibitors that possess better selectivity profiles toward the different human isoforms of the enzyme. Here, we used conventional 3D-QSAR methods, including comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA), and Topomer CoMFA, to construct three-dimensional quantitative structure-activity relationship (3D-QSAR) models for benzenesulfonamide derivatives as human carbonic anhydrase (hCA) II/IX inhibitors. The theoretical models had good reliability (R²>0.75) and predictability (Q²>0.55), and the contour maps could graphically present the contributions of the force fields for activity and identify the structural divergence between human carbonic anhydrase II inhibitors and human carbonic anhydrase IX inhibitors. Consequently, we explored the selectivity of inhibitor for human carbonic anhydrase II and IX through molecular docking, and the difference of activity coincides with the potential binding mode well. According to the results of the predicted values and the molecule docking, we found that the inhibitors published in the literature had stronger inhibition on the hCA IX; based on the theoretical models, we designed seven new compounds with good potential activity and reasonably good ADMET profile, which could selectively inhibit hCA IX. Molecular Dynamics Simulation showed that newly-designed compound D7 had good selectivity on hCA IX. The findings from 3D-QSAR and docking studies maybe helpful in the rational drug design of isoform-selective inhibitors.     

Improved CoMFA modeling by optimization of settings

The possibility of improving the predictive ability of comparative molecular field analysis (CoMFA) by settings optimization has been evaluated to show that CoMFA predictive ability can be improved. Ten different CoMFA settings are evaluated, producing a total of 6120 models. This method has been applied to nine different data sets, including the widely used benchmark steroid data set, as well as eight other data sets proposed as QSAR benchmarking data sets by Sutherland et al. (J. Med. Chem. 2004, 47, 5541-5554). All data sets have been studied using training and test sets to allow for both internal (q(2)) and external (r(2)(pred)) predictive ability assessment. CoMFA settings optimization was successful in developing models with improved q(2) and r(2)(pred) as compared to default CoMFA modeling. Optimized CoMFA is compared with comparative molecular similarity indices analysis (CoMSIA) and holographic quantitative structure-activity relationship (HQSAR) models and found to consistently produce models with improved or equivalent q(2) and r(2)(pred). The ability of settings optimization to improve model predictive ability has been validated using both internal and external predictions, and the risk of chance correlation has been evaluated using response variable randomization tests.     

Design, syntheses and biological activity of novel ALS inhibitors (Ⅸ)——CoMFA of sulfonylureas and triazolopyrimidine-2-sulfonamides ALS inhibitors

Quantitative structure-activity relationships for herbicidal activity against rape of sulfonylurea and triazolopyrimidin-2-sulfonamide derivatives were examined three-dimensionally using comparative molecular field analysis (CoMFA). The CoMFA results show that the slopes in steric and electrostatic fields around the molecule were significant for both series in governing the potency variations in herbicidal activity. Based upon the successful superposition between the two series, the herbicidal activity was analyzable with a single equation for the combined set of compounds, which suggested that the two different series of compounds have a common region of the receptor site.