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The profiling of oxidase‐catalyzed biomarkers is an essential procedure for the diagnosis and precise treatment of metabolic diseases. Inspired by the metabolism of H2O2 in peroxisomes, a novel chemiluminescent silica nanodevice (CSN) was designed for the sensitive and selective sensing of intracellular oxidase‐catalyzed biomarkers. Oxidases catalyzed the oxidation of biomarkers followed by the production of H2O2, and then the generated H2O2 was employed to trigger chemiluminescence of the CSN. Utilizing this nanodevice, we not only accurately quantified intracellular glucose but also developed its further application for facile insulin sensitizer screening. Furthermore, sensitive and multiparametric analysis of oxidase‐catalyzed biomarkers like lactic acid, uric acid, and ethanol was demonstrated. Thus, this peroxisome‐inspired CSN holds great promise for the general diagnosis of metabolic diseases and in drug discovery.  相似文献   
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Pharmacophore is a commonly used method for molecular simulation, including ligand-based pharmacophore (LBP) and structure-based pharmacophore (SBP). LBP can be utilized to identify active compounds usual with lower accuracy, and SBP is able to use for distinguishing active compounds from inactive compounds with frequently higher missing rates. Merged pharmacophore (MP) is presented to integrate advantages and avoid shortcomings of LBP and SBP. In this work, LBP and SBP models were constructed for the study of peroxisome proliferator receptor-alpha (PPARα) agonists. According to the comparison of the two types of pharmacophore models, mainly and secondarily pharmacological features were identified. The weight and tolerance values of these pharmacological features were adjusted to construct MP models by single-factor explorations and orthogonal experimental design based on SBP model. Then, the reliability and screening efficiency of the best MP model were validated by three databases. The best MP model was utilized to compute PPARα activity of compounds from traditional Chinese medicine. The screening efficiency of MP model outperformed individual LBP or SBP model for PPARα agonists, and was similar to combinatorial screening of LBP and SBP. However, MP model might have an advantage over the combination of LBP and SBP in evaluating the activity of compounds and avoiding the inconsistent prediction of LBP and SBP, which would be beneficial to guide drug design and optimization.  相似文献   
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We designed and synthesized a series of 2-thioxo-4-thiazolidinone derivatives and evaluated them on peroxisome proliferator activated receptor γ(PPARγ) binding activities.Through the biological assays,compounds 18 and 38 were highlighted with K_i values of 12.15 nmol/Land 14.46 nmol/L,respectively.Then structure-activity relationship(SAR) was analyzed to screen privileged structural modifications.Moreover,molecular fitting of these compounds onto the approved drug Rosightazone in the PPARγligand binding domain was performed to elucidate the SAR and explore potential receptor-ligand interactions.These results demonstrate that the 2-thioxo-4-thiazolidinones can be considered as new promising molecular probes with excellent binding activities to PPARγ.  相似文献   
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尺寸排阻色谱柱上尿素梯度复性全长人PPAR-γ   总被引:1,自引:0,他引:1  
李伟  张雪梅  郑晓红  段雯  余瑜 《光谱实验室》2010,27(4):1614-1620
建立尺寸排阻色谱柱上尿素梯度复性全长人PPAR-γ重组蛋白的方法。利用尺寸排阻色谱柱上尿素梯度除去变性剂直接复性变性蛋白。添加尿素和精氨酸抑制聚集以提高复性产率,加入Zn2+促进变性蛋白形成正确折叠。复性后,重组蛋白的尺寸排阻色谱保留体积增大;紫外光谱最大吸收波长从234.0nm变为280.8nm;基质辅助激光解析-电离飞行时间质谱分析重组蛋白的完整性,测得分子量与理论值一致;放射配体受体结合饱和实验测得解离常数(Kd)为89±4nmol/L;复性产率为52.7%。结果表明本文所建立的方法能成功用于复性变性全长人PPAR-γ,获得可用于结构和功能研究的具有生物学活性的全长人PPAR-γ蛋白。  相似文献   
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Chiral α-arylthiocarboxylic acids with different substitution patterns, representing new pirinixic acid derivatives with dual PPARα/γ agonistic activities, have been separated into enantiomers on tert-butylcarbamoylquinine and quinidine based chiral anion-exchangers and amylose tris(3,5-dimethylphenylcarbamate) coated silica on analytical and preparative scale. Absolute configurations of individual enantiomers were assigned chromatographically via elution orders on the chiral anion-exchangers and were confirmed by stereoselective syntheses via Ewans auxiliaries that have lead to enantiomeric products with known absolute configurations. The results of both methods were in full agreement. Moreover, the receptor stereoselectivity in PPARα transactivation activities was consistent within the test set of structurally related compounds. Limited correlation (between elution order and substitution) was observed within the set of α-arylthiocarboxylic acids on the amylose tris(3,5-dimethylphenylcarbamate) based chiral stationary phase (CSP), in particular the elution order changed with remote substitution. This clearly demonstrates the risks of chromatographic absolute configuration assignments by prediction from one structural analog to another one, especially with CSPs such as polysaccharide CSPs that are recognized for their broad applicability due to multiple binding and chiral recognition modes. It is therefore of utmost importance that such chromatographic absolute configuration predictions by extrapolation to structural analogs are combined with orthogonal methods for verification of the results.  相似文献   
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A series of thiazolidinediones analogs,as PPAR modulators,were designed,synthesized and evaluated in vitro.  相似文献   
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基于PPARα激动剂的融合药效团模型的构建及评价   总被引:1,自引:0,他引:1  
Pharmacophore is a commonly used method for molecular simulation, including ligand-based pharmacophore (LBP) and structure-based pharmacophore (SBP). LBP can be utilized to identify active compounds usual with lower accuracy, and SBP is able to use for distinguishing active compounds from inactive compounds with frequently higher missing rates. Merged pharmacophore (MP) is presented to integrate advantages and avoid shortcomings of LBP and SBP. In this work, LBP and SBP models were constructed for the study of peroxisome proliferator receptor-alpha (PPARα) agonists. According to the comparison of the two types of pharmacophore models, mainly and secondarily pharmacological features were identified. The weight and tolerance values of these pharmacological features were adjusted to construct MP models by single-factor explorations and orthogonal experimental design based on SBP model. Then, the reliability and screening efficiency of the best MP model were validated by three databases. The best MP model was utilized to compute PPARα activity of compounds from traditional Chinese medicine. The screening efficiency of MP model outperformed individual LBP or SBP model for PPARα agonists, and was similar to combinatorial screening of LBP and SBP. However, MP model might have an advantage over the combination of LBP and SBP in evaluating the activity of compounds and avoiding the inconsistent prediction of LBP and SBP, which would be beneficial to guide drug design and optimization.  相似文献   
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