Kuroda Yukihiro, Saito Madoka, Sakai Harumi, Yamaoka Takashi
Analytical Biotechnology Center, Sumika Chemical Analysis Service Ltd., Osaka, Japan.
Drug Metab Pharmacokinet. 2008;23(2):120-7. doi: 10.2133/dmpk.23.120.
High-throughput characterization of drug-drug interactions in plasma protein binding was demonstrated by using a surface plasmon resonance (SPR) biosensor. The method used in this study enabled the discrimination between the two modes of binding inhibition, direct competition and negative allosteric effect, which was difficult in conventional SPR approaches. Two theoretical equations were used representing SPR binding response for directly competitive binding or for independent binding. The experimental binding data for human serum albumin was processed by non-linear least squared regression of the equations. By this approach, drug-drug interactions were classified into three modes, direct competition, independent binding, and allosteric interaction, which were almost consistent with previous reports. In addition, dissociation constants were also estimated roughly for direct competition and for independent binding. The analytical throughput was almost as high as in the previous reports; three minutes per injection. This method is a powerful tool for the characterization of drug-drug interaction at an early stage of new drug development.
通过使用表面等离子体共振(SPR)生物传感器证明了血浆蛋白结合中药物-药物相互作用的高通量表征。本研究中使用的方法能够区分两种结合抑制模式,即直接竞争和负变构效应,这在传统的SPR方法中是困难的。使用了两个理论方程来表示直接竞争结合或独立结合的SPR结合响应。通过对方程进行非线性最小二乘回归处理人血清白蛋白的实验结合数据。通过这种方法,药物-药物相互作用被分为三种模式,即直接竞争、独立结合和变构相互作用,这与先前的报道几乎一致。此外,还大致估计了直接竞争和独立结合的解离常数。分析通量几乎与先前报道的一样高;每次注射三分钟。该方法是在新药开发早期表征药物-药物相互作用的有力工具。