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Quantitative structure-retention relationships in affinity high-performance liquid chromatography

机译:亲和高效液相色谱中的定量结构保留关系

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In this report the affinity high-performance liquid chromatography data, which were determined on silica-based human serum albumin, α_1-acid glycoprotein, keratin, collagen, melanin, amylose tris(3,5-dimethylphenylcarbamate), and basic fatty acid binding protein columns, are discussed. Using a quantitative structure-retention relationship (QSRR) approach the affinity data were interpreted in terms of structural requirements of specific binding sites on biomacromolecules. The unique chromatographic properties of immobilized artificial membrane and cholesterol stationary phases were also analyzed from the point of view of mimicking biological processes. It has been demonstrated that chemometric processing of appropriately designed sets of chromatographic data derived in systems comprising biomolecules provides information of relevance for molecular pharmacology and rational drug design.
机译:在本报告中,亲和高效液相色谱数据由基于二氧化硅的人血清白蛋白,α_1酸糖蛋白,角蛋白,胶原蛋白,黑色素,直链淀粉三(3,5-二甲基苯基氨基甲酸酯)和碱性脂肪酸结合蛋白测定专栏,进行了讨论。使用定量结构-保留关系(QSRR)方法,根据生物大分子上特定结合位点的结构要求解释了亲和力数据。从模仿生物过程的角度,还分析了固定化人工膜和胆固醇固定相的独特色谱特性。已经证明,在包含生物分子的系统中对适当设计的色谱数据集进行化学计量处理可提供与分子药理学和合理的药物设计有关的信息。

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