Institute of Biochemistry II, Goethe University, Frankfurt am Main, Germany; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Branch for Translational Medicine and Pharmacology, Theodor-Stern-Kai 7, 60596 Frankfurt am Main, Germany.
Institute of Biochemistry II, Goethe University, Frankfurt am Main, Germany; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Branch for Translational Medicine and Pharmacology, Theodor-Stern-Kai 7, 60596 Frankfurt am Main, Germany; Buchmann Institute for Molecular Life Sciences, Frankfurt am Main, Germany.
Cell Chem Biol. 2020 Nov 19;27(11):1441-1451.e7. doi: 10.1016/j.chembiol.2020.07.010. Epub 2020 Jul 28.
Protein-protein interactions (PPIs) govern intracellular life, and identification of PPI inhibitors is challenging. Roadblocks in assay development stemming from weak binding affinities of natural PPIs impede progress in this field. We postulated that enhancing binding affinity of natural PPIs via protein engineering will aid assay development and hit discovery. This proof-of-principle study targets PPI between linear ubiquitin chains and NEMO UBAN domain, which activates NF-κB signaling. Using phage display, we generated ubiquitin variants that bind to the functional UBAN epitope with high affinity, act as competitive inhibitors, and structurally maintain the existing PPI interface. When utilized in assay development, variants enable generation of robust cell-based assays for chemical screening. Top compounds identified using this approach directly bind to UBAN and dampen NF-κB signaling. This study illustrates advantages of integrating protein engineering and chemical screening in hit identification, a development that we anticipate will have wide application in drug discovery.
蛋白质-蛋白质相互作用 (PPIs) 控制着细胞内的生命活动,而 PPI 抑制剂的鉴定具有挑战性。源于天然 PPIs 结合亲和力较弱的检测方法开发障碍,阻碍了该领域的进展。我们假设通过蛋白质工程增强天然 PPIs 的结合亲和力将有助于检测方法的开发和命中的发现。本原理验证研究针对线性泛素链和 NEMO UBAN 结构域之间的 PPI,该 PPI 激活 NF-κB 信号。我们使用噬菌体展示技术生成了与功能性 UBAN 表位具有高亲和力的泛素变体,这些变体作为竞争性抑制剂,并在结构上维持现有的 PPI 界面。当用于检测方法开发时,这些变体可用于生成用于化学筛选的稳健的基于细胞的检测方法。使用这种方法鉴定的顶级化合物直接与 UBAN 结合并抑制 NF-κB 信号。本研究说明了将蛋白质工程和化学筛选集成到命中鉴定中的优势,我们预计这一发展将在药物发现中得到广泛应用。