Kuo Lawrence C
Structural Biology, Johnson & Johnson Pharmaceutical Research & Development, L.L.C., Spring House, Pennsylvania, USA.
Methods Enzymol. 2011;493:159-68. doi: 10.1016/B978-0-12-381274-2.00007-8.
For anyone who has participated in a screening exercise in a pharmaceutical or biotech setting with the aim to discover hits against protein targets, it is evident that a single screening exercise does not always offer hits of sufficient quality to be progressed into a lead compound. Often, more than one screen is needed. The premise in conducting a new screening exercise is to find "better" hits that are chemically and pharmacologically more attractive. As we move into challenging, new target classes, the need of new methods to find tractable hits is ever more urgent and the availability of differentiated backup compounds is crucial to sustain a clinical program. The obvious alternate routes to conduct the new screen include an improved compound library, a larger compound library, and different or more sensitive detection methods. As many of us have experienced firsthand, repeating a screen without drastically changing the chemical nature of the compound library or information content of the readout likely will offer only variations of the original hits. This chapter describes the strategies to adopt in fragment-based lead discovery to avoid rediscovering the known.
对于任何参与过制药或生物技术领域筛选工作,旨在发现针对蛋白质靶点的活性分子的人来说,很明显单次筛选工作并不总能提供足够优质的活性分子以推进到先导化合物阶段。通常,需要进行不止一次筛选。开展新的筛选工作的前提是找到在化学和药理学上更具吸引力的“更好”的活性分子。随着我们进入具有挑战性的新靶点类别,寻找易于处理的活性分子的新方法的需求变得更加迫切,差异化备用化合物的可用性对于维持临床项目至关重要。进行新筛选的明显替代途径包括改进的化合物库、更大的化合物库以及不同或更灵敏的检测方法。正如我们许多人亲身经历的那样,在不大幅改变化合物库的化学性质或读数的信息内容的情况下重复筛选,可能只会提供原始活性分子的变体。本章描述了在基于片段的先导化合物发现中应采用的策略,以避免重新发现已知的东西。