Langmead Christopher J
Psychiatry Centre of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, Essex, UK.
J Biomol Screen. 2007 Aug;12(5):668-76. doi: 10.1177/1087057107301854. Epub 2007 May 3.
Targeting allosteric binding sites represents a powerful mechanism for selectively modulating receptor function. The advent of functional assays as the screening method of choice is leading to an increase in the number of allosteric modulators identified. These include positive allosteric modulators that can increase the affinity of the orthosteric agonist and potentiate the evoked response. A common method for screening for positive allosteric modulators is to examine a concentration-response (C/R) curve to the putative modulator in the presence of a single, low concentration of agonist. The study reported here has used data simulations for positive allosteric modulators according to the allosteric ternary complex model to generate modulator C/R curves. The results are then compared to the mechanistic parameters used to simulate the data. It is clear from the simulations that the potency of a positive modulator C/R curve in a screening assay is the product of both its affinity and positive cooperativity. However, it is often difficult to tell which parameter dominates the response; not knowing the actual affinity or cooperativity of a ligand may have consequences for receptor selectivity. Further modeling demonstrates that the use and choice of single agonist concentration, as well as changes in the agonist curve Hill slope, can have significant effects on the modulator C/R curve. Finally, the quantitative relationship between modulator C/R curves and the allosteric ternary complex model is explored. These simulations emphasize the importance of careful interpretation of screening data and of conducting full mechanism of action studies for positive allosteric modulators.
靶向变构结合位点是选择性调节受体功能的一种强大机制。作为首选筛选方法的功能测定法的出现,导致已鉴定的变构调节剂数量增加。这些包括能够增加正位激动剂亲和力并增强诱发反应的正变构调节剂。筛选正变构调节剂的常用方法是在存在单一低浓度激动剂的情况下,检查针对假定调节剂的浓度-反应(C/R)曲线。本文报道的研究根据变构三元复合物模型,使用了针对正变构调节剂的数据模拟来生成调节剂C/R曲线。然后将结果与用于模拟数据的机制参数进行比较。从模拟中可以清楚地看出,筛选试验中正调节剂C/R曲线的效价是其亲和力和正协同性的乘积。然而,通常很难判断哪个参数主导反应;不知道配体的实际亲和力或协同性可能会对受体选择性产生影响。进一步的建模表明,单一激动剂浓度的使用和选择,以及激动剂曲线希尔斜率的变化,可能会对调节剂C/R曲线产生显著影响。最后,探讨了调节剂C/R曲线与变构三元复合物模型之间的定量关系。这些模拟强调了仔细解释筛选数据以及对正变构调节剂进行完整作用机制研究的重要性。