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首页> 外文期刊>Current medicinal chemistry >Quantitative structure--activity relationship (QSAR) studies on non steroidal anti-inflammatory drugs (NSAIDs).
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Quantitative structure--activity relationship (QSAR) studies on non steroidal anti-inflammatory drugs (NSAIDs).

机译:非甾体类抗炎药(NSAID)的定量构效关系(QSAR)研究。

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摘要

Different chemical structures have been found to possess different anti-inflammatory activities. Inflammation is a normal and essential response to any noxious stimulus which threatens the host and may vary from a localized response to a more generalized one. In view of the complexity and multitude of biochemical factors involved in inflammatory events, few general correlations of chemical structures and physicochemical properties with biological activities would be expected. Nevertheless some general features seem to be commonly associated with a large number of active drugs. However, these main features are not sufficient, but they could reflect certain physicochemical requirements for in vivo efficacy. QSAR is a useful means for maximizing the potency of a new lead compound. In the lead optimization phase of the synthetic project various QSAR procedures with the aid of computer-technology have been proposed. Among them, the classical Hansch approach has been widely used leading to quite a few successful examples. In the QSAR approaches, the prescription to optimise the lead structure is inferred from mathematical equations correlating variations in the potency of a certain biological activity with physicochemical and structural descriptors among congeneric molecules. The QSAR procedures are based on physical organic concepts and involve calculational operations. In the last years, quantum-chemical descriptors have been used in QSAR studies, because of the large physical information content encoded in many of the descriptors. Several anti-inflammatory receptor site models have been proposed. Since inflammation is a complex phenomenon involving interrelationships between humoral and cellular reactions through a number of inflammatory mediators, there is not much evidence on QSAR studies. Several QSAR studies have been reported obtaining only partial results. It was found that substituents which contribute to the high lipophilicity, were favourable to the activity. Substituents of short length (H, CH3) have also a favourable effect. Satisfactory relationships between the in vivo activities and deprotonation energies, the HOMO energies and lipophilicities were found.
机译:已经发现不同的化学结构具有不同的抗炎活性。炎症是对威胁宿主的任何有害刺激的正常且必不可少的反应,可能从局部反应到更普遍的反应有所不同。鉴于涉及炎症事件的生物化学因素的复杂性和多样性,化学结构和物理化学性质与生物活性之间的一般关联很少。然而,一些一般特征似乎通常与大量活性药物有关。然而,这些主要特征还不够,但是它们可以反映出体内功效的某些理化要求。 QSAR是最大化新铅化合物效力的有用手段。在综合项目的前期优化阶段,已经提出了借助计算机技术的各种QSAR程序。其中,经典的汉施方法已被广泛使用,从而产生了许多成功的例子。在QSAR方法中,从数学方程式推导优化前导结构的处方,该数学方程式将某种生物活性的效力变化与同类分子之间的物理化学和结构描述符相关联。 QSAR程序基于物理有机概念,涉及计算操作。近年来,由于许多描述符中编码的大量物理信息内容,量子化学描述符已用于QSAR研究中。已经提出了几种抗炎受体部位模型。由于炎症是一种复杂的现象,涉及通过多种炎症介质在体液和细胞反应之间的相互关系,因此在QSAR研究中没有太多证据。据报道,一些QSAR研究仅获得部分结果。发现有助于高亲脂性的取代基对活性是有利的。短长度的取代基(H,CH3)也具有良好的作用。发现体内活性与去质子能,HOMO能和亲脂性之间的令人满意的关系。

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