Biegel Annegret, Gebauer Sabine, Hartrodt Bianka, Brandsch Matthias, Neubert Klaus, Thondorf Iris
Institute of Biochemistry, Department of Biochemistry/Biotechnology, Martin-Luther-University Halle-Wittenberg, D-06099 Halle, Germany.
J Med Chem. 2005 Jun 30;48(13):4410-9. doi: 10.1021/jm048982w.
The utilization of the membrane transport protein PEPT1 as a drug delivery system is a promising strategy to enhance the oral bioavailability of drugs. Since very little is known about the substrate binding site of PEPT1, computational methods are a meaningful tool to gain a more detailed insight into the structural requirements for substrates. Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies using the comparative molecular similarity indices analysis (CoMSIA) method were performed on a training set of 98 compounds. Affinity constants of beta-lactam antibiotics and tripeptides were determined at Caco-2 cells. A statistically reliable model of high predictive power was obtained (q(2) = 0.828, r(2) = 0.937). The results derived from CoMSIA were graphically interpreted using different field contribution maps. We identified those regions which are crucial for the interaction between peptidomimetics and PEPT1. The new 3D-QSAR model was used to design a new druglike compound mimicking a dipeptide. The predicted K(i) value was confirmed experimentally.
利用膜转运蛋白PEPT1作为药物递送系统是提高药物口服生物利用度的一种有前景的策略。由于对PEPT1的底物结合位点了解甚少,计算方法是更深入了解底物结构要求的一种有意义的工具。使用比较分子相似性指数分析(CoMSIA)方法对98种化合物的训练集进行了三维定量构效关系(3D-QSAR)研究。在Caco-2细胞中测定了β-内酰胺抗生素和三肽的亲和常数。获得了具有高预测能力的统计可靠模型(q(2)=0.828,r(2)=0.937)。使用不同的场贡献图对CoMSIA得出的结果进行了图形解释。我们确定了那些对拟肽与PEPT1之间的相互作用至关重要的区域。新的3D-QSAR模型用于设计一种模拟二肽的新型类药物化合物。预测的K(i)值通过实验得到了证实。