Hasegawa Kiyoshi, Shindoh Hidetoshi, Shiratori Yasuhiko, Ohtsuka Tatsuo, Aoki Yuko, Ichihara Shigeyasu, Horii Ikuo, Shimma Nobuo
Nippon Roche Research Center, 200 Kajiwara, Kamakura, Kanagawa, 247-8530, Japan.
J Chem Inf Comput Sci. 2002 Jul-Aug;42(4):968-75. doi: 10.1021/ci0102517.
Pharmacokinetic (PK) parameters of N-myristoyltransferase (Nmt) inhibitors were measured, and a multivariate quantitative structure-pharmacokinetic relationship (QSPKR) model for predicting rat elimination half-life (t(1/2)) values was constructed. One hundred seven benzofuran derivatives have been selected as the data set for QSPKR analysis. The correlation between the t(1/2) values and 30 physicochemical descriptors was examined by a stepwise multiple linear regression method. The statistical analysis gives a significant QSPKR model (r = 0.843) with the following three variables: partial negative surface area (PNSA), atomic-based octanol/water partition coefficient (AlogP), and the number of rotational bonds (Rotlbonds). The QSPKR model obtained is predictive and simple, and would give a direction for designing new Nmt inhibitors having good PK profiles.
测定了N-肉豆蔻酰转移酶(Nmt)抑制剂的药代动力学(PK)参数,并构建了一个用于预测大鼠消除半衰期(t(1/2))值的多变量定量构效关系(QSPKR)模型。选择了107种苯并呋喃衍生物作为QSPKR分析的数据集。通过逐步多元线性回归方法研究了t(1/2)值与30个物理化学描述符之间的相关性。统计分析得到了一个具有显著意义的QSPKR模型(r = 0.843),该模型包含以下三个变量:部分负表面积(PNSA)、基于原子的正辛醇/水分配系数(AlogP)和旋转键的数量(Rotlbonds)。所获得的QSPKR模型具有预测性且简单,可为设计具有良好药代动力学特征的新型Nmt抑制剂提供指导。