利用密度泛函理论计算了14种HIV抑制剂的4H-甲基咪唑苯二氮(TIBO)的分子性质。利用主成分分析(PCA)和聚类分析(HCA)减少了子变量的个数,从而使这些变量能有效地对抗HIV活性的4H-甲基咪唑苯二氮TIBO衍生物进行分类。主成分分析法表明,EH OMO、μ、LogP、Q A、QB和MR参数能够有效地把所研究的药物分为活性强的抗HIV病毒药物和活性弱的抗HIV病毒药物。聚类分析方法得到的结果与主成分分析得到的结果类似。为了检验结论是否正确,利用化学计量学方法,使用主成分分析法和分层聚类分析法对其他4个抗HIV活性的合成化合物进行了分析,其中3个被认为是活性强的抗HIV病毒药物,这与临床试验结果一致。主成分分析法和分层聚类分析法为新的抗HIV病毒的TIBO药物的分类提供了一个可信的规律。
Density functional theory (DFT) was used to calculate a set of molecular descriptors (properties) for 14 TIBO derivatives with anti-HIV activity. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were employed in order to reduce dimensionality and investigate which subset of variables should be more effective for classifying TIBO derivatives according to their degree of anti-HIV activity. The PCA showed that the EHOMO,μ, LogP, QA, QB and MR variables can effectively separate the compounds under study with higher and lower anti-HIV activity. The HCA results are similar to those obtained with PCA. By using the chemometric results, four synthetic compounds were analyzed through PCA and HCA and three of them are proposed as active molecules against HIV, which is consistent with the results of clinic experiments. The methodologies of PCA and HCA provide a reliable rule for classifying new TIBO derivatives with anti-HIV activity.