Huber Walter, Sinopoli Alessandro, Kohler Josiane, Hug Melanie, Ruf Armin, Huber Sylwia
Molecular Design and Chemical Biology (MDCB), F. Hoffmann La Roche, Roche Innovation Center Basel, Grenzacherstrasse 124, 4070, Basel, Switzerland.
University of Catania, V. le A. Doria 6, 95125, Catania, Italy.
J Mol Recognit. 2015 Aug;28(8):480-91. doi: 10.1002/jmr.2465. Epub 2015 Mar 12.
The present work introduces a surface plasmon resonance-based method for the discrimination of direct competition and allosteric effects that occur in ternary systems comprising a receptor protein and two small-molecular-weight ligands that bind to it. Fatty acid binding protein 4, fructose-1,6-bisphosphatase and human serum albumin were used as model receptor molecules to demonstrate the performance of the method. For each of the receptor molecules, pairs of ligand molecules were selected for which either direct competition or an allosteric effect had already been determined by other methods. The method of discrimination introduced here is based on the surface plasmon resonance responses observed at equilibrium when an immobilized receptor protein is brought into contact with binary mixtures of interacting ligands. These experimentally determined responses are compared with the responses calculated using a theoretical model that considers both direct competition and allosteric ligand interaction modes. This study demonstrates that the allosteric ternary complex model, which enables calculation of the fractional occupancy of the protein by each ligand in such ternary systems, is well suited for the theoretical calculation of these types of responses. For all of the ternary systems considered in this work, the experimental and calculated responses in the chosen concentration ratio range were identical within a five-σ confidence interval when the calculations considered the correct interaction mode of the ligands (direct competition or different types of allosteric regulation), and in case of allosteric modulation, also the correct strength of this effect. This study also demonstrates that the allosteric ternary complex model-based calculations are well suited to predict the ideal concentration ratio range or even single concentration ratios that can serve as hot spots for discrimination, and such hot spots can drastically reduce the numbers of measurements needed for discrimination between direct competition and distinct modulation modes (neutral, positive or negative allostery).
本工作介绍了一种基于表面等离子体共振的方法,用于区分在包含受体蛋白和与其结合的两个小分子配体的三元系统中发生的直接竞争和变构效应。脂肪酸结合蛋白4、果糖-1,6-二磷酸酶和人血清白蛋白被用作模型受体分子来证明该方法的性能。对于每个受体分子,选择了已通过其他方法确定存在直接竞争或变构效应的配体分子对。这里介绍的区分方法基于当固定化的受体蛋白与相互作用配体的二元混合物接触时在平衡状态下观察到的表面等离子体共振响应。将这些实验确定的响应与使用考虑直接竞争和变构配体相互作用模式的理论模型计算得到的响应进行比较。本研究表明,能够计算此类三元系统中每个配体对蛋白质的占有率的变构三元复合物模型非常适合对这些类型的响应进行理论计算。对于本工作中考虑的所有三元系统,当计算考虑配体的正确相互作用模式(直接竞争或不同类型的变构调节)时,在选定的浓度比范围内,实验响应和计算响应在五倍标准差置信区间内是相同的,并且在变构调节的情况下,还考虑了这种效应的正确强度。本研究还表明,基于变构三元复合物模型的计算非常适合预测可作为区分热点的理想浓度比范围甚至单一浓度比,并且这样的热点可以大幅减少区分直接竞争和不同调节模式(中性、正性或负性变构)所需的测量次数。