Bajorath Jürgen
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Bonn, D-53113, Germany.
F1000Res. 2014 Oct 3;3:233. doi: 10.12688/f1000research.5426.1. eCollection 2014.
Compounds with apparent activity in a variety of assays might disable target proteins or produce false assay signals in the absence of specific interactions. In some instances, such effects are easy to detect, in others they are not. Observed promiscuity of compounds might be due to such non-specific assay artifacts. By contrast, promiscuity might also result from specific interactions with multiple targets. In the latter case, promiscuous compounds can be attractive candidates for certain therapeutic applications. However, compounds with artificial activity readouts are often not recognized and are further progressed, which presents a substantial problem for drug discovery. In this context, the concept of PAINS (pan-assay interference compounds) should be seriously considered, which makes it possible to eliminate flawed compounds from the discovery pipeline, even if their activities appear to be sound at a first glance.
在各种检测中表现出明显活性的化合物,可能会使靶蛋白失活,或者在没有特异性相互作用的情况下产生假检测信号。在某些情况下,这种效应很容易检测到,而在其他情况下则不然。观察到的化合物的混杂性可能是由于这种非特异性检测假象。相比之下,混杂性也可能源于与多个靶点的特异性相互作用。在后一种情况下,混杂性化合物可能是某些治疗应用的有吸引力的候选物。然而,具有人工活性读数的化合物往往未被识别并被进一步推进,这给药物发现带来了重大问题。在这种背景下,应认真考虑PAINS(泛检测干扰化合物)的概念,这使得从发现流程中消除有缺陷的化合物成为可能,即使它们乍一看活性似乎是合理的。