Pfizer Global Research and Development, Groton Laboratories, 558 Eastern Point Road, Groton, CT 06340, USA.
Biopharm Drug Dispos. 2010 Jan;31(1):82-90. doi: 10.1002/bdd.692.
Accurately measuring and predicting biliary excretion would be extremely valuable in evaluating the contribution of biliary excretion to the total systemic clearance, understanding potential mechanisms of hepatobiliary toxicity as well as potentials for drug-drug interactions in drug discovery. In this study, in vivo rat biliary excretion of drug-like molecules was measured using bile duct cannulated rats. Literature biliary excretion data with similar experimental conditions were collected. A predictive quantitative structure-pharmacokinetic relationship (QSPR) model was developed using genetic algorithm guided principal component regression analysis and 2D molecular descriptors. In the derived model, hydrophobicity expressed with calculated distribution coefficients (cLogD) is the most important molecular property correlating biliary excretion. The derived model has been validated using literature data, and should be useful in estimating biliary excretion potentials of molecules in drug discovery.
准确测量和预测胆汁排泄对于评估胆汁排泄对总全身清除率的贡献、了解肝毒性的潜在机制以及药物发现中药物-药物相互作用的潜力非常有价值。在这项研究中,使用胆管插管大鼠测量了类似药物分子在体内的胆汁排泄。收集了具有类似实验条件的文献胆汁排泄数据。使用遗传算法引导主成分回归分析和二维分子描述符,开发了一个预测定量构效关系(QSPR)模型。在所得到的模型中,用计算分配系数(cLogD)表示的疏水性是与胆汁排泄最相关的重要分子特性。该模型已使用文献数据进行验证,应可用于估计药物发现中分子的胆汁排泄潜力。