Mechanistic Biology and Profiling, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK.
Med Res Rev. 2020 Sep;40(5):1776-1793. doi: 10.1002/med.21670. Epub 2020 Apr 13.
Understanding protein-small-molecule interactions is a critical component of rational drug-design. Structure-activity relationship (SAR)-guided medicinal chemistry is informed by the biological outcome, as assessed by biochemical activity or cellular effect, of chemical modifications on small molecules. The effectiveness of SAR is reliant on the sturdiness and durability of assay design and the quality of information garnered from assays. Lack of quality data at this step can lead to obstruction of the drug discovery pipeline with profound implications for the timelines of introducing a drug into the market. Hence, it would not be an overstatement to consider biochemical/biological assays as the backbone of drug-discovery. Enzyme assays can fail for many different reasons, with the enzyme and the substrate being the principal players. Lack of clarity can hamper progress and can lead to mounting costs and potentially losing competitive advantage. Although each assay is unique and requires a specific approach to troubleshoot the problem at hand, there are general guidelines that can be followed to maximize the chances of success. This review is a step-by-step attempt at reintroducing fundamental biochemical concepts within the context of an enzyme assay, delineating probable causes for failure and potential approaches to get an assay back up and running.
理解蛋白质-小分子相互作用是合理药物设计的关键组成部分。基于结构的活性关系 (SAR) 指导的药物化学是通过对小分子进行化学修饰的生物结果来评估的,如生化活性或细胞效应。SAR 的有效性依赖于测定设计的坚固性和耐用性,以及从测定中获得的信息的质量。在这一步骤缺乏高质量的数据可能会导致药物发现管道受阻,这对药物推向市场的时间线有深远的影响。因此,可以毫不夸张地将生化/生物学测定视为药物发现的支柱。酶测定可能会由于多种原因而失败,其中酶和底物是主要参与者。缺乏明确性可能会阻碍进展,并导致成本增加,甚至可能失去竞争优势。虽然每个测定都是独特的,需要特定的方法来解决手头的问题,但可以遵循一些一般准则来最大程度地提高成功的机会。本综述旨在在酶测定的背景下逐步重新引入基本的生化概念,阐明失败的可能原因以及使测定恢复正常运行的潜在方法。