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基于结构的 OATP1B1/3 抑制剂的鉴定。

Structure-based identification of OATP1B1/3 inhibitors.

机构信息

Drug Delivery and Disposition, KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Leuven, Belgium.

出版信息

Mol Pharmacol. 2013 Jun;83(6):1257-67. doi: 10.1124/mol.112.084152. Epub 2013 Apr 9.

Abstract

Several recent studies show that inhibition of the hepatic transport proteins organic anion-transporting polypeptide 1B1 (OATP1B1) and 1B3 (OATP1B3) can result in clinically relevant drug-drug interactions (DDI). To avoid late-stage development drug failures due to OATP1B-mediated DDI, predictive in vitro and in silico methods should be implemented at an early stage of the drug candidate evaluation process. In the present study, we first developed a high-throughput in vitro transporter inhibition assay for the OATP1B subfamily. A total of 2000 compounds were tested as potential modulators of the uptake of the OATP1B substrate sodium fluorescein, in OATP1B1- or 1B3-transfected Chinese hamster ovary cells. At an equimolar substrate-inhibitor concentration of 10 µM, 212 and 139 molecules were identified as OATP1B1 and OATP1B3 inhibitors, respectively (minimum 50% inhibition). For 69 compounds, previously not identified as OATP1B inhibitors, concentration-dependent inhibition was also determined, yielding Ki values ranging from 0.06 to 6.5 µM. Based on these in vitro data, we subsequently developed a proteochemometrics-based in silico model, which predicted OATP1B inhibitors in the test group (20% of the dataset) with high specificity (86%) and sensitivity (78%). Moreover, several physicochemical compound properties and substructures related to OATP1B1/1B3 inhibition or inactivity were identified. Finally, model performance was prospectively verified with a set of 54 compounds not included in the original dataset. This validation indicated that 80 and 74% of the compounds were correctly classified for OATP1B1 and OATP1B3 inhibition, respectively.

摘要

最近的几项研究表明,抑制肝转运蛋白有机阴离子转运多肽 1B1(OATP1B1)和 1B3(OATP1B3)可导致临床上相关的药物相互作用(DDI)。为了避免由于 OATP1B 介导的 DDI 导致药物开发后期失败,应在药物候选物评估过程的早期阶段实施预测性的体外和计算方法。在本研究中,我们首先开发了一种用于 OATP1B 亚家族的高通量体外转运蛋白抑制测定法。共测试了 2000 种化合物,以作为 OATP1B 底物荧光素钠摄取的潜在调节剂,在 OATP1B1 或 1B3 转染的中国仓鼠卵巢细胞中进行。在等摩尔底物-抑制剂浓度为 10 µM 时,分别鉴定出 212 种和 139 种化合物为 OATP1B1 和 OATP1B3 抑制剂(最小抑制率为 50%)。对于 69 种先前未被鉴定为 OATP1B 抑制剂的化合物,也确定了浓度依赖性抑制作用,得出 Ki 值范围为 0.06 至 6.5 µM。基于这些体外数据,我们随后开发了一种基于计算化学计量学的计算模型,该模型可以高度特异性(86%)和敏感性(78%)预测测试组(数据集的 20%)中的 OATP1B 抑制剂。此外,还确定了与 OATP1B1/1B3 抑制或无活性相关的几种物理化学化合物性质和亚结构。最后,使用未包含在原始数据集中的 54 种化合物的集合对模型性能进行了前瞻性验证。该验证表明,80%和 74%的化合物分别正确分类为 OATP1B1 和 OATP1B3 抑制剂。

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