Calculation of nonlinearities of K2Ce(NO3)(5)center dot 2H(2)O and K2La(NO3)(5)center dot 2H(2)O

A quantitative investigation of structure-property relationships has been carried out in the nonlinear optical crystals K2Ce(NO3)(5) . 2H(2)O and K2La(NO3)(5) . 2H(2)O, from the chemical bond viewpoint. Chemical bond parameters and linear and nonlinear optical properties of each type of constituent chemical bond of both crystals are calculated. Theoretical results agree reasonably with experimental data, and explain quantitatively their nonlinear origins in this type of crystal. This theoretical method allows us to calculate accurately the nonlinearities of complex crystals.

Chemical bond analysis of nonlinearity of urea crystal

A novel and quantitative study on structure-property relationships has been carried out in urea crystal, based on the dielectric theory of complex crystals and the modified Levine bond charge model, mainly from the chemical bond viewpoint. For the first time, it was treated like this, and the bond parameters and linear and nonlinear characteristics of constituent chemical bonds were presented quantitatively. The theoretical result agrees satisfactorily with the experimental datum and can reasonably explain the nonlinear origin of urea crystal, that is, the C-N bond in the conjugated system of bonds O double left arrow C<--N-H. At the same time, the novel method should be a useful tool toward the future development of the search for new nonlinear optical (NLO) materials in the organic crystal field.

Novel poly(aryl ether ketone)s containing various pendant groups .2. Gas-transport properties

The gas transport of hydrogen, oxygen, nitrogen, carbon dioxide, and methane gases in a series of poly(aryl ether ketone)s was examined. These polymer membranes have a wide range of permeability coefficients and permselectivity coefficients, showing excellent gas-transport properties. The enhanced interchain interaction in the polymers due to intermolecular hydrogen bonds and ionic bonds results in a considerable increase in permselectivity but a decrease in permeability. On the contrary, the polymers with bulky arkyl substituents show significantly increased permeability. The causes of this trend are interpreted in terms of the free volume, interchain distance, and glass transition temperature together with the respective contribution of gas solubility and diffusivity to the overall permeability. Of interest is the observation that the ionomer IMPEK-K+, which simultaneously contains bulky isopropyl substituents and pendant carboxylate groups, exhibits over twice higher CO2 permeability and 15% higher CO2/CH4 permselectivity than those of bisphenol-A p'olysulfone (PSF). The possibility of using the new synthesized poly(aryl ether ketone)s in gas separation membrane application is also discussed. (C) 1997 John Wiley & Sons, Inc.

Synthesis and characterization of polypyrrole-polyurethane cationomer composites

Poly(ether urethane) cationomers based on poly(oxytetramethylene), 4,4'-bibenzyldiisocyanate, N-methyldiethanolamine as chain extender, and acrylic acid/poly(acrylic acid) as quaternization agent were synthesized. Pyrrole (15 wt.-%) was polymerized in films of the ionomer containing CuCl2. The films were characterized by dynamic mechanical analysis, thermogravimetry and differential scanning calorimetry. The electric conductivity of the film without polypyrrole is 7.5 . 10(-12) Omega(-1)cm(-1), while incorporation of polypyrrole increases the conductivity to 4.5 . 10(-6) Omega(-1) cm(-1).

Study on Phenol Compounds Using Multiple Regression and Neural Network Methods

In this paper, the molecular connectivity indices and the electronic charge parameters of forty-eight phenol compounds nave been calculated. and applied for studying the relationship between partition coefficients and structure of phenol compounds. The results demonstrate that the properties of compounds can be described better with selective parameters, and the results obtained by neural network are superior to that by multiplle regression.

PREDICTION OF THE GIBBS ENERGY OF ION TRANSFER ACROSS THE WATER NITROBENZENE INTERFACE USING 3 NEW TOPOLOGICAL INDEXES

Correlation analysis of the standard Gibbs energy for a series of tetraalkylammonium ions, protonated substituted ethylenediamine derivatives and protonated aromatic amine derivatives using three new topological indices Ax1, Ax2 and Ax has been studied. T

羟基自由基降解琼胶及其产物的活性研究

琼胶是一种从石花菜等红藻中提取的，目前生产工艺和结构等方面研究比较成熟的海藻多糖，广泛应用于医药、仪器等行业。但是，海藻多糖因为具有分子量大，粘度大，溶解度较小的等特点，而使其应用范围受到限制。利用降解的手段对其进行修饰，降低分子量和粘度，改善溶解性，可以拓展其应用范围。并且根据文献报道，琼 胶寡糖具有一些特殊的生物活性，如抗氧化性，抗炎症等。因此，对琼胶降解的研究具有生要意义。本研究中，为了选择一种合适的降解方法，进行了几种水解方法的尝试，其中包括在不同湿度和酸度下盐酸水解，过氧化氢和醋酸催化水解，Fenton体系羟基自由基降解。对于酸水解和Fenton体系氧化还原降解方法，通过粘度法对反应的速度进行了比较，表明氧化还原降解反应中琼胶的粘度降低比较快，并且具有代表性和新意，确定为本实验的降解琼胶的方法并对氧化还原降解所得的产物进行了活性实验。通过模仿自然界普遍存在的氧化还原降解反应，利用Vc诱导的Fenton体系产生的羟基自由基氧化还原降解琼胶得到低分子量的琼胶。降解产物经过高速离心、60％乙醇沉淀，除去分子量比较大的降解产物和磷酸盐，得到可溶于60％乙醇的分子量估计小于3000的降争产物，其产率为85％。利用经Sephadex-G25凝胶色谱分离所香的不同分子量的级分进行分子量和α－葡萄糖苷酶抑制活性关系的实验。降解产物对α－葡萄糖苷酶的抑制率和各级分的浓度呈线性正相关，并且各级分的IC_(50)则随着分子量的降低而降低。另外，对所得的降解产物混合物进行了红外吸收光谱、质子去偶核磁共震碳谱和负离子基质辅助激光诱导－飞行时间质谱结构分析。结果表明，氧化还原降解反应的专一性差，在得到寡糖的同时，在光谱图中出现一些比较复杂的副产物的结构信息。最后，根据MTT法的原理，以有体皮肤成纤维细胞为材料，通过紫外线辐射产生自由基造成氧化损伤，研究降解产物对成纤维细胞的保护作用。当无紫外线辐射时，降解产物对成纤维细胞具有显著的促进生长增殖作用：当经UVa、UBb辐射时则可以显著地表现出对损伤的保护作用，并且这种促进生长和保护作用呈显著的量效关系，表明降解产物具有清除基自由基的作用。但是，因为氧化还原降解以应的机理尚不十分明的以及琼羟胶的特殊结构，使得反应的副产物很难预测，也就使得分离工作难以进行，所以，根据目前所得的信息，尚不能确定是降解产物的什么级分产生的以上两种生物活性。

海洋红藻多管藻和松节藻的化学成分及抗氧化活性研究

海洋生物具有产生丰富多样的次生代谢产物的能力，其中红藻门松节藻科海藻卤代次生代谢产物以其结构新颖、生物活性独特引起了天然产物化学家的重视。 本论文对海洋红藻多管藻和松节藻进行了化学成分研究，综合利用各种色谱学方法 (硅胶柱层析、反相硅胶柱层析、凝胶Sephadex LH-20柱层析、半制备高效液相色谱以及重结晶等) 和现代波谱学技术 (IR、UV、EI-MS、FAB-MS、HR-ESI-MS、CD、1H-NMR、13C-NMR、DEPT、1H-1H COSY、HSQC、HMBC等)，共分离鉴定了100个化合物，发现25个新化合物。 从多管藻中分离鉴定38个化合物 (24个溴酚化合物)，其中7个新化合物 (均为溴酚化合物)，包括1个菲并呋喃结构溴酚 (P1), 2个二氢菲结构溴酚 (P2, P3)，1个含 5,7-dihydrodibenzo[c,e]oxepine 结构溴酚 (P4)和3个简单溴酚 (P5, P6, P7)。P1 (urceolatin) 属首例报道的具有菲并呋喃结构的天然产物，从该种中分离的化合物P12 和 P13 可能是其生源合成的前体。P2和P3为第二例报道的具有二氢菲结构的溴酚化合物。 从松节藻中分离并鉴定了62 个化合物，其中18 个为溴酚类新化合物，44 个为已知化合物。化合物具有多变的取代基团，包括2 个脲基吡咯烷酮溴酚化合物 (R1, R2), 4 个γ-脲基丁酸溴酚化合物 (R3-R6)，5 个酰胺溴酚化合物 (R7, R8, R9, R13, R14)，1 个溴酚砜化合物 (R12), 1 个Xanthene 溴酚化合物 (R10)和5 个简单溴酚化合物 (R11, R15, R16, R17, R18)。R1、R2 是首例报道的含有脲基吡咯烷酮片段的天然产物，R10 为首次报道的溴代Xanthene 类天然产物。 对分离到的化合物进行了清除DPPH 和ABTS两种自由基活性的筛选。结果发现溴酚类天然产物具有显著的DPPH自由基清除活性，其中R3 的IC50 仅为3.3 μM, 其活性强度约为阳性对照BHT (IC50 为82.1 μM) 的24倍。另外，溴酚类天然产物对ABTS自由基有较强的清除活性，R2 的TEAC（Trolox efficency activity capacity）值为5.2 mM，约为阳性对照 (ascorbic acid, 1.02 mM) 的 5 倍。初步的构效关系研究发现，稠环分子、多羟基和邻位甲氧基等结构特点能有效增强DPPH 自由基清除活性；特殊取代基如脲基、吡咯烷酮等含有氮原子的基团，能有效增强ABTS 自由基清除活性，多羟基、溴代等结构特点也使其活性有所增强。 本研究结果丰富了海藻卤代化合物的结构类型，为多管藻和松节藻的合理利用提供了一定的科学依据。

PTP1B抑制剂的制备与构效关系研究

蛋白酪氨酸磷酸酶1B（protein tyrosine phosphatase, PTP1B）是蛋白酪氨酸磷酸酶（protein tyrosine phosphatases, PTPs）家族中的一个经典的非受体型酪氨酸磷酸酶，在胰岛素信号通路中起着重要的负调控作用，是目前公认的一个新颖的糖尿病和肥胖症治疗靶点。寻找PTP1B的高活性抑制剂对糖尿病和肥胖症治疗有着重要的应用前景。 双-(2,3-二溴-4,5-二羟基苯基)-甲烷（BDDPM）是从松节藻醇提物中分离鉴定出的溴酚类化合物，体外活性筛选发现，它具有极强的蛋白酪氨酸磷酸酶1B(PTP1B)抑制活性(IC50=2.4μmol/L)。采用高脂饮食-链脲佐菌素诱导的大鼠模型（STZ-DM）对富含BDDPM的松节藻醇提物进行动物实验，发现中、高剂量组同样表现出惊人的活性，降糖效果优于阳性对照临床药物文迪雅，并呈剂量依赖性。于是拟采用STZ-DM大鼠模型对单一组分BDDPM进行药理、药效学等体内降糖活性研究，但体内动物实验需要30g以上BDDPM，所以首先要解决药源的问题。本文尝试从天然海藻提取分离和化学合成两种途径来解决BDDPM制备的问题。 首先本文尝试从松节藻中提取分离BDDPM的制备方法。通过正相硅胶色谱、凝胶Sephadex LH-20色谱和重结晶等纯化手段分离纯化目标化合物BDDPM，并借助IR，MS和NMR等技术确定了其化学结构。最终从常温风干的50kg松节藻干样品中分离得到7.8g BDDPM。由于松节藻藻体构成复杂，给分离纯化BDDPM带来极大困难，致使分离纯化过程耗费大量时间和金钱；并且原材料松节藻的采集也易受季节和原料短缺等自然因素的影响。所以，从天然海藻中分离纯化的方法不适宜用于BDDPM的制备。 本文的重点是对BDDPM（4e）的化学合成途径进行研究。本文通过5步合成法（Friedel-Craftz酰基化反应、苯环逐级溴代、羰基还原、羟基脱保护）成功地合成了BDDPM，合成总产率为23.6%。同时本文采用上述合成路线获得了四个系列共计20个溴酚系列衍生物（4e为目标产物BDDPM，其余19个为溴酚系列衍生物），其中10个为新化合物。合成的20个化合物经1H NMR、13C NMR、MSEI和IR进行了结构鉴定。合成的20个化合物在体外活性筛选中均表现出不同程度的PTP1B抑制活性，其中合成的目标产物4e具有与天然分离纯化获得的BDDPM同等效率的PTP1B抑制作用。 另外，通过比较四个系列化合物PTP1B抑制活性间的差异，对此类溴酚化合物的构效关系作了初步分析，结果表明：1．羰基官能团的存在会明显降低此类化合物的PTP1B抑制率；2．化合物中的羟基官能团被甲氧基保护后，PTP1B抑制活性会得到一定程度的加强；3．化合物苯环上溴原子取代基数目增多时，其PTP1B抑制率也会随之增强。但是，筛选结果中也有少部分化合物的PTP1B抑制作用与上述规则相违背。因此，本文总结的初步构效关系还需要进一步的实验研究加以验证。 最后本文通过化学合成的方法，经过5步反应成功地制备出了30g BDDPM，为后续的药理、药效学研究奠定了基础。

Proteasome and NF-kappa B inhibiting phaeophytins from the green alga Cladophora fascicularis

Chemical examination of the green alga Cladophora fascicularis resulted in the isolation and characterization of a new porphyrin derivative, porphyrinolactone (1), along with five known phaeophytins 2-6 and fourteen sterols and cycloartanes. The structure of 1 was determined on the basis of spectroscopic analyses and by comparison of its NMR data with those of known phaeophytins. Compounds 1-6 displayed moderate inhibition of tumor necrosis factor alpha (TNF-alpha) induced nuclear factor-kappa B (NF-kappa B) activation, while 2 and 4 displayed potential inhibitory activity toward proteasome chymotripsin-like activation. The primary structure-activity relationship was also discussed.

Synthesis and QSAR studies of novel triazole compounds containing thioamide as potential antifungal agents

Eighteen novel triazole compounds containing thioamide were designed and synthesized. Their structures were confirmed by elemental analysis, H-1 NMR, IR, and MS. The title compounds exhibited certain antifungal activity. And the geometry structures of the title compounds were optimized by means of the density functional theory (DFT) method at B3LYP/6-31G* level. The quantitative structure-activity relationship (QSAR) of the title compounds was systematically investigated. A correlative equation between FA and DELH, V was well established by using the multiple linear regression (MLR). (c) 2006 Elsevier Ltd. All rights reserved.

An in silico approach for screening flavonoids as P-glycoprotein inhibitors based on a Bayesian-regularized neural network

P-glycoprotein (P-gp), an ATP-binding cassette (ABC) transporter, functions as a biological barrier by extruding cytotoxic agents out of cells, resulting in an obstacle in chemotherapeutic treatment of cancer. In order to aid in the development of potential P-gp inhibitors, we constructed a quantitative structure-activity relationship (QSAR) model of flavonoids as P-gp inhibitors based on Bayesian-regularized neural network (BRNN). A dataset of 57 flavonoids collected from a literature binding to the C-terminal nucleotide-binding domain of mouse P-gp was compiled. The predictive ability of the model was assessed using a test set that was independent of the training set, which showed a standard error of prediction of 0.146 +/- 0.006 (data scaled from 0 to 1). Meanwhile, two other mathematical tools, back-propagation neural network (BPNN) and partial least squares (PLS) were also attempted to build QSAR models. The BRNN provided slightly better results for the test set compared to BPNN, but the difference was not significant according to F-statistic at p = 0.05. The PLS failed to build a reliable model in the present study. Our study indicates that the BRNN-based in silico model has good potential in facilitating the prediction of P-gp flavonoid inhibitors and might be applied in further drug design.

STUDIES ON STRUCTURE-CARCINOGENIC ACTIVITY RELATIONSHIP OF N-NITROSO COMPOUNDS

The electronic parameters of 12 N-nitroso compounds have been computated with semiempirical quantum chemical calculation, and the study on the relationships between the structures of these compounds and the carcinogenic activities have been performed by using multivariate regression analysis and neural network with satisfactory results.

SOLID DEFECT STRUCTURE AND CATALYTIC ACTIVITY OF PEROVSKITE-TYPE CATALYSTS LA1-XSRXNIO3-LAMBDA AND LA1-1.333XTHXNIO3-LAMBDA

Two series of La1-xSrxNiO3-lambda and La1-1.333xThxNiO3-lambda catalysts have been prepared, and the relationships between the solid defect structure and catalytic activity for NH3 oxidation were measured. The results showed that in the range of x < 0.3, the samples possessed single perovskite-type structure, and as the content of Sr2+ decreased and that of Th4+ increased the catalytic activity increased which was paralleled with the Ni3+ concentration within the catalysts. The active oxygen species (O- or O2(2-)) were present not only on the surface but also in the bulk of the samples. The synergistic effect of transition metal ions with higher oxidation states and randomly distributed oxygen vacancies was the key factor determining catalytic activity of perovskite-type oxides. A redox mechanism for NH3 oxidation over ABO3 is proposed.

Structure and anti-HIV activity of micrandilactones B and C, new nortriterpenoids possessing a unique skeleton from Schisandra micrantha

Two new highly oxygenated nortriterpenoids with a unique norcycloartane skeleton, micrandilactones B and C (1-2), were isolated from Schisandra micrantha; micrandilactone C ( 2) exhibited an EC50 value of 7.71 mu g/mL (SI > 25.94) against HIV-1 replication with minimal cytotoxicity, and the potent anti-HIV-1 activity and unique structural features of 2 make it a promising lead for therapeutic development of a new generation of anti-HIV drug.