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碳酸酐酶模型化合物的合成、表征及其催化性能研究 总被引:1,自引:0,他引:1
模拟碳酸酐酶的活性中心结构,以三(取代吡唑基)硼氢根[T~p^R^,^R^1]^-为配体,合成了一系列金属配合物[T~p^R^,^R^1]MX[R=Ph,2'-thie(2'-噻吩基),Me;R^1=Ph,2'-thie,Me;M=Co,Ni,Cu,Zn,Cd;X=Cl,NO~3,CH~3COO]共13个,均经元素分析,IR,^1HNMR谱表征。选取其中5个有代表性的配合物,采用Stopped-flow技术,研究了模型物催化CO~2可逆水合反应的动力学,结果表明具备酶促反应动力学的一般特征。详细考察了溶液pH值、模型物的结构(尤其是中心金属离子的电子结构)、浓度对该反应的影响,得出一些重要的结果。计算出该反应有、无催化剂时的活化能,从本质上阐明了反应活化能降低是模型物加速反应的根本原因。 相似文献
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α‐3 carbonic anhydrase isozyme (CAIII) is the most abundant protein in adipocytes and considered insensitive to sulfonamide inhibitors. It was reported recently that the knock‐down of CAIII is attributed with controlling lipogenesis. Thus inhibition of this target may lead to the discovery of new therapies against obesity and insulin resistance. Vanillic acid as a small molecule with coordinating groups and has a potential to bind zinc atoms in CA binding sites. Inhibition of CAIII by vanillic acid was evaluated by Hummel–Dreyer chromatography because it provides free interaction between ligand and macromolecule and introduces solution for faulty results obtained by current colorimetric assays. HPLC system of vanillic acid produces vacancy (negative) peak representing the amount of attached vanillic acid with CAIII. It was found that vanillic acid is able to bind with CAIII through two equilibria, one at equimolar ratio and another at 2:1 (vanillic acid–CAIII) ratio. The affinity constant of equimolar binding between CAIII and vanillic acid was found to be 14,400 m ?1. It was found that vanillic acid binding with CAIII is much stronger than phenol and acetazolamide (positive controls). Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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Relationship between topochemical indices and anti-HIV-1 (HTLV-III) inhibitory activity of 1-alkoxy-5-alkyl-6-(arylthio)uracils
has been studied. Superadjacency, an adjacency-cum-distance-based, topochemical index and Wiener’s, a distance-based, topochemical
index were calculated for a set of 36 1-alkoxy-5-alkyl-6-(arylthio)uracils. Resulting data were analyzed and suitable models
were developed after identification of the active ranges. Subsequently, a biological activity was assigned to each of the
compounds using these models and compared with the reported anti-HIV-1 activity. High accuracy of prediction was observed
using these models. Statistical analysis revealed significance of the proposed models as well as a lack of correlation between
the topochemical indices employed for the chosen data set. 相似文献