Buchwald P, Bodor N
IVAX, Miami, Florida 33137, USA.
Pharmazie. 2004 May;59(5):396-404.
Following rational, retrometabolism-based drug design strategies, already two generations of cortienic acid-based soft corticosteroids have been designed. During their development, a large number of receptor-binding affinity (RBA) data for the glucocorticoid receptor (GR) were determined. RBA is a major determinant of therapeutic potential for corticosteroids, because GRs from different tissues and even from different species seem to be essentially the same. A quantitative analysis of these RBA data obtained from more than sixty structures was performed. Within both generations of soft steroids, good receptor-binding affinity could be achieved with adequate substitution at the sensitive 17alpha or 17beta pharmacophores. For soft steroids that satisfy the main binding criteria at the glucocorticoid receptor, an indicator variable for a structural element (6alpha- or 9alpha-halogenation) and a physicochemical parameter (lipophilicity as measured by log P(o/w)) account for a large portion of the variability in RBA. Following a classical, regression-type analysis, a QSAR model that accounts for close to 80% of the variability in the log RBA data could be built using only these two descriptors. According to these data, receptor binding affinity at the GR is dramatically increased by 6alpha- or 9alpha-halogenation and it also tends to increase with increasing lipophilicity.
遵循基于逆向代谢的合理药物设计策略,已经设计出了两代基于皮质烯酸的软质皮质类固醇。在其研发过程中,测定了大量糖皮质激素受体(GR)的受体结合亲和力(RBA)数据。RBA是皮质类固醇治疗潜力的主要决定因素,因为来自不同组织甚至不同物种的GR似乎基本相同。对从六十多个结构获得的这些RBA数据进行了定量分析。在两代软质类固醇中,在敏感的17α或17β药效基团处进行适当取代可实现良好的受体结合亲和力。对于在糖皮质激素受体处满足主要结合标准的软质类固醇,一个结构元素(6α-或9α-卤化)的指示变量和一个物理化学参数(以log P(o/w)测量的亲脂性)占RBA变异性的很大一部分。通过经典的回归类型分析,仅使用这两个描述符就可以建立一个QSAR模型,该模型可以解释log RBA数据中近80%的变异性。根据这些数据,6α-或9α-卤化可显著提高GR处的受体结合亲和力,并且它也倾向于随着亲脂性的增加而增加。