Lee Wei L, Li Junqi, Uttamchandani Mahesh, Sun Hongyan, Yao Shao Q
Department of Biological Science, National University of Singapore, Singapore, Republic of Singapore.
Nat Protoc. 2007;2(9):2126-38. doi: 10.1038/nprot.2007.305.
One of the most fundamental properties of an enzyme is its selectivity, a property that has proved highly challenging to understand. Recent developments offer methodologies to rapidly establish activity-dependent profiles of enzymes. In this protocol, we describe methods to elucidate inhibitor fingerprints of enzymes. By taking advantage of well-defined small-molecule inhibitor libraries and the screening throughput offered from microplate and microarray platforms, we provide step-by-step application of the methodology toward the global characterization of metalloproteases, an important class of enzymes involved in numerous diseases and cellular processes. The same strategy is nonetheless applicable to virtually any given enzyme class, provided suitable experimental design and chemical inhibitor libraries are carefully implemented. We are able to routinely fingerprint as many as 2,000 independent enzyme interactions on the microplate platform within a span of approximately 7 h; however, the same throughput is attained within 5 h on the microarray platform.
酶最基本的特性之一是其选择性,这一特性已被证明极难理解。最近的进展提供了快速建立酶活性依赖图谱的方法。在本方案中,我们描述了阐明酶抑制剂指纹图谱的方法。通过利用定义明确的小分子抑制剂文库以及微孔板和微阵列平台提供的筛选通量,我们逐步将该方法应用于金属蛋白酶的全面表征,金属蛋白酶是一类涉及众多疾病和细胞过程的重要酶。然而,只要仔细实施合适的实验设计和化学抑制剂文库,相同的策略实际上适用于任何给定的酶类。我们能够在大约7小时内常规地在微孔板平台上对多达2000个独立的酶相互作用进行指纹图谱分析;然而,在微阵列平台上5小时内就能达到相同的通量。