Dunn W J, Wold S
J Med Chem. 1978 Sep;21(9):922-30. doi: 10.1021/jm00207a015.
The SIMCA method of pattern recognition (PaRC) was used to analyze structure-activity data for a series of phenethylamine agonists and antagonists of the beta-adrenergic receptor. On the basis of physicochemical substituent parameters the SIMCA method classified correctly 100% of the agonists and 88% of the antagonists. In addition, parameters derived from the class models were correlated with the biological activities of the agonists and antagonists, respectively. Test compounds not included in the initial data analysis were classified and their activities estimated. The applicability of pattern recognition in structure-activity studies in general is discussed.
采用模式识别(PaRC)的SIMCA方法分析了一系列β-肾上腺素能受体苯乙胺激动剂和拮抗剂的构效关系数据。基于物理化学取代基参数,SIMCA方法正确分类了100%的激动剂和88%的拮抗剂。此外,从类模型导出的参数分别与激动剂和拮抗剂的生物活性相关。对初始数据分析中未包含的测试化合物进行了分类并估计了它们的活性。讨论了模式识别在一般构效关系研究中的适用性。