Aguayo-Ortiz Rodrigo, Chávez-García Cecilia, Straub John E, Dominguez Laura
Departamento de Fisicoquímica , Facultad de Química , Universidad Nacional Autónoma de México , Mexico City , 04510 , Mexico . Email:
Department of Chemistry , Boston University , Boston , Massachusetts 02215 , USA.
Chem Sci. 2017 Aug 1;8(8):5576-5584. doi: 10.1039/c7sc00980a. Epub 2017 Jun 5.
γ-Secretase is an intramembrane-cleaving aspartyl protease that plays an essential role in the processing of a variety of integral membrane proteins. Its role in the ultimate cleavage step in the processing of amyloid precursor protein to form amyloid-β (Aβ) peptide makes it an important therapeutic target in Alzheimer's disease research. Significant recent advances have been made in structural studies of this critical membrane protein complex. However, details of the mechanism of activation of the enzyme complex remain unclear. Using a multiscale computational modeling approach, combining multiple coarse-grained microsecond dynamic trajectories with all-atom models, the structure and two conformational states of the γ-secretase complex were evaluated. The transition between enzymatic state 1 and state 2 is shown to critically depend on the protonation states of the key catalytic residues Asp257 and Asp385 in the active site domain. The active site formation, related to our γ-secretase state 2, is observed to involve a concerted movement of four transmembrane helices from the catalytic subunit, resulting in the required localization of the catalytic residues. Global analysis of the structural ensemble of the enzyme complex was used to identify collective fluctuations important to the mechanism of substrate recognition and demonstrate that the corresponding fluctuations observed were uncorrelated with structural changes associated with enzyme activation. Overall, this computational study provides essential insight into the role of structure and dynamics in the activation and function of γ-secretase.
γ-分泌酶是一种膜内裂解天冬氨酸蛋白酶,在多种整合膜蛋白的加工过程中发挥着重要作用。它在淀粉样前体蛋白加工形成淀粉样β(Aβ)肽的最终裂解步骤中的作用,使其成为阿尔茨海默病研究中的一个重要治疗靶点。最近在这种关键膜蛋白复合物的结构研究方面取得了重大进展。然而,酶复合物激活机制的细节仍不清楚。利用多尺度计算建模方法,将多个粗粒度的微秒级动态轨迹与全原子模型相结合,对γ-分泌酶复合物的结构和两种构象状态进行了评估。结果表明,酶状态1和状态2之间的转变关键取决于活性位点结构域中关键催化残基Asp257和Asp385的质子化状态。观察到与我们的γ-分泌酶状态2相关的活性位点形成涉及催化亚基的四个跨膜螺旋的协同运动,从而导致催化残基的所需定位。对酶复合物结构集合的全局分析用于识别对底物识别机制重要的集体波动,并证明观察到的相应波动与酶激活相关的结构变化不相关。总体而言,这项计算研究为结构和动力学在γ-分泌酶激活和功能中的作用提供了重要见解。