Pharmechanics, LLC, Owego, NY, USA.
SLAS Discov. 2021 Aug;26(7):835-850. doi: 10.1177/24725552211019653. Epub 2021 Jun 11.
The analysis framework used to quantify drug potency in vitro (e.g., or ) was initially developed for classical pharmacology bioassays, for example, organ bath experiments testing moderate-affinity natural products. Modern drug discovery can infringe the assumptions of the classical pharmacology analysis equations, owing to the reduction of assay volume in miniaturization, target overexpression, and the increase of compound-target affinity in medicinal chemistry. These assumptions are that (1) the compound concentration greatly exceeds the target concentration (i.e., minimal ligand depletion), and (2) the compound is at equilibrium with the receptor (i.e., rapid ligand binding kinetics). Unappreciated infringement of these assumptions can lead to substantial underestimation of compound affinity, which negatively impacts the drug discovery process, from early-stage lead optimization to prediction of human dosing. This study evaluates the real-world impact of these factors on the target interaction assays used in drug discovery using literature examples, database searches, and simulations. The ranges of compound affinity and the assay types that are prone to depletion and equilibration artifacts are identified. Importantly, the highest-affinity compounds, usually the highest value chemical matter in drug discovery, are the most affected. Methods and simulation tools are provided to enable investigators to evaluate, manage, and minimize depletion or equilibration artifacts. This study enables the correct application of pharmacological data analysis to accurately quantify affinity using modern drug discovery assay technology.
用于体外定量药物效力的分析框架(例如, 或 )最初是为经典药理学生物测定法开发的,例如,测试中等亲和力天然产物的器官浴实验。由于在微型化过程中减少了测定体积、靶标过表达以及药物化学中化合物-靶标亲和力增加,现代药物发现可能会侵犯经典药理学分析方程的假设。这些假设是(1)化合物浓度大大超过靶标浓度(即最小配体消耗),以及(2)化合物与受体达到平衡(即快速配体结合动力学)。如果不了解这些假设的侵犯情况,可能会导致化合物亲和力的严重低估,从而对药物发现过程产生负面影响,从早期先导化合物优化到人类给药预测。本研究使用文献实例、数据库搜索和模拟评估了这些因素对药物发现中使用的靶标相互作用测定的实际影响。确定了容易出现消耗和平衡伪影的化合物亲和力范围和测定类型。重要的是,受影响最大的是最高亲和力的化合物,通常是药物发现中最高值的化学物质。提供了方法和模拟工具,使研究人员能够评估、管理和最小化消耗或平衡伪影。本研究使人们能够正确应用药理学数据分析,使用现代药物发现测定技术准确地定量亲和力。