Zhang Genwei, Li Chengxi, Quartararo Anthony J, Loas Andrei, Pentelute Bradley L
Department of Chemistry, Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA
The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology 500 Main Street Cambridge MA 02142 USA.
Chem Sci. 2021 Jul 14;12(32):10817-10824. doi: 10.1039/d1sc02587b. eCollection 2021 Aug 18.
In-solution affinity selection (AS) of large synthetic peptide libraries affords identification of binders to protein targets through access to an expanded chemical space. Standard affinity selection methods, however, can be time-consuming, low-throughput, or provide hits that display low selectivity to the target. Here we report an automated bio-layer interferometry (BLI)-assisted affinity selection platform. When coupled with tandem mass spectrometry (MS), this method enables both rapid discovery and affinity maturation of known peptide binders with high selectivity. The BLI-assisted AS-MS technology also features real-time monitoring of the peptide binding during the library selection process, a feature unattainable by current selection approaches. We show the utility of the BLI AS-MS platform toward rapid identification of novel nanomolar (dissociation constant, < 50 nM) non-canonical binders to the leukemia-associated oncogenic protein menin. To our knowledge, this is the first application of BLI to the affinity selection of synthetic peptide libraries. We believe our approach can significantly accelerate the use of synthetic peptidomimetic libraries in drug discovery.
对大型合成肽文库进行溶液内亲和筛选(AS),可通过拓展化学空间来鉴定与蛋白质靶点结合的配体。然而,标准的亲和筛选方法可能耗时、通量低,或者得到的命中配体对靶点的选择性较低。在此,我们报道了一种自动化生物层干涉术(BLI)辅助的亲和筛选平台。当与串联质谱(MS)联用时,该方法能够快速发现已知的肽类配体并使其亲和力成熟,且具有高选择性。BLI辅助的AS-MS技术还具备在文库筛选过程中实时监测肽结合情况的特点,这是目前筛选方法所无法实现的。我们展示了BLI AS-MS平台在快速鉴定与白血病相关致癌蛋白Menin结合的新型纳摩尔级(解离常数,<50 nM)非经典配体方面的实用性。据我们所知,这是BLI首次应用于合成肽文库的亲和筛选。我们相信我们的方法能够显著加速合成拟肽文库在药物发现中的应用。