Department of Medicinal Chemistry, University of Kansas, Lawrence, KS, 66045, USA.
Center for Computational Biology, Department of Molecular Biosciences, University of Kansas, Lawrence, KS, 66045, USA. Electronic address: https://twitter.com/yinglongmiao.
Curr Opin Struct Biol. 2022 Jun;74:102373. doi: 10.1016/j.sbi.2022.102373. Epub 2022 Apr 20.
γ-Secretase is a membrane protein complex that proteolyzes within the transmembrane domain of >100 substrates, including those derived from the amyloid precursor protein and the Notch family of cell surface receptors. The nine-transmembrane presenilin is the catalytic component of this aspartyl protease complex that carries out hydrolysis in the lipid bilayer. Advances in cryoelectron microscopy have led to the elucidation of the structure of the γ-secretase complex at atomic resolution. Recently, structures of the enzyme have been determined with bound APP- or Notch-derived substrates, providing insight into the nature of substrate recognition and processing. Molecular dynamics simulations of substrate-bound enzymes suggest dynamic mechanisms of intramembrane proteolysis. Structures of the enzyme bound to small-molecule inhibitors and modulators have also been solved, setting the stage for rational structure-based drug discovery targeting γ-secretase.
γ-分泌酶是一种膜蛋白复合物,可在 >100 种底物的跨膜结构域内进行蛋白水解,包括来自淀粉样前体蛋白和 Notch 家族细胞表面受体的底物。九跨膜早老素是该天冬氨酸蛋白酶复合物的催化成分,在脂质双层中进行水解。冷冻电子显微镜技术的进步使得能够以原子分辨率阐明 γ-分泌酶复合物的结构。最近,已经确定了与 APP 或 Notch 衍生底物结合的酶的结构,为底物识别和加工的本质提供了线索。与底物结合的酶的分子动力学模拟表明了跨膜蛋白水解的动态机制。与小分子抑制剂和调节剂结合的酶的结构也已被解决,为针对 γ-分泌酶的基于结构的合理药物发现奠定了基础。