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POTENT INHIBITORS OF HUMAN ORGANIC ANION TRANSPORTERS 1 AND 3 FROM CLINICAL DRUG LIBRARIES: DISCOVERY AND MOLECULAR CHARACTERIZATION

机译:来自临床药物文库的人有机阴离子转运蛋白1和3的有效抑制剂:发现和分子表征

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摘要

Transporter-mediated drug-drug interactions in the kidney dramatically influence the pharmacokinetics and other clinical effects of drugs. Human organic anion transporters 1 (hOAT1) and 3 (hOAT3) are the major transporters in the basolateral membrane of kidney proximal tubules, mediating the rate-limiting step in the elimination of a broad spectrum of drugs. In the present study, we screened two clinical drug libraries against hOAT1 and hOAT3. Of the 727 compounds screened, 92 compounds inhibited hOAT1 and 262 compounds inhibited hOAT3. When prioritized based on the peak unbound plasma concentrations of these compounds, three inhibitors for hOAT1 and seven inhibitors for hOAT3 were subsequently identified with high inhibitory potency (>95%). Computational analyses revealed that inhibitors and non-inhibitors can be differentiated from each other on the basis of several physico-chemical features, including: number of hydrogen-bond donors, number of rotatable bonds, and topological polar surface area (TPSA) for hOAT1; and molecular weight, number of hydrogen-bond donors and acceptors, TPSA, partition coefficient (Log P7.4), and polarizability for hOAT3. Pharmacophore modeling identified two common structural features associated with inhibitors for hOAT1 and hOAT3, viz., an anionic hydrogen-bond acceptor atom, and an aromatic center separated by ~5.7 Å. Such model provides mechanistic insights for predicting new OAT inhibitors.
机译:肾脏中转运蛋白介导的药物相互作用极大地影响了药物的药代动力学和其他临床作用。人有机阴离子转运蛋白1(hOAT1)和3(hOAT3)是肾脏近端小管基底外侧膜中的主要转运蛋白,介导了消除多种药物的限速步骤。在本研究中,我们针对hOAT1和hOAT3筛选了两个临床药物库。在筛选的727种化合物中,有92种化合物抑制了hOAT1,而262种化合物抑制了hOAT3。根据这些化合物的未结合血浆峰值浓度进行优先排序时,随后确定了三种hOAT1抑制剂和7种hOAT3抑制剂具有较高的抑制效力(> 95%)。计算分析表明,抑制剂和非抑制剂可以基于几种物理化学特征彼此区分,包括:hOAT1的氢键供体数,可旋转键数和拓扑极性表面积(TPSA);分子量,氢键供体和受体的数量,TPSA,分配系数(Log P7.4)和hOAT3的极化率。药理学模型确定了与hOAT1和hOAT3抑制剂相关的两个常见结构特征,即阴离子氢键受体原子和一个芳香族中心,相距约5.7。这种模型为预测新的OAT抑制剂提供了机械方面的见解。

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