4.7 Article

Mechanisms of γ-Secretase Activation and Substrate Processing

Journal

ACS CENTRAL SCIENCE
Volume 6, Issue 6, Pages 969-983

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acscentsci.0c00296

Keywords

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Funding

  1. National Science Foundation [ACI1548562, TG-MCB180049]
  2. National Energy Research Scientific Computing Center (NERSC) [M2874, DE-AC02-05CH11231]
  3. National Institutes of Health [GM122894]
  4. College of Liberal Arts and Sciences at the University of Kansas

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Amyloid beta-peptide, the principal component of characteristic cerebral plaques of Alzheimer's disease (AD), is produced through intramembrane proteolysis of the amyloid precursor protein (APP) by gamma-secretase. Despite the importance in the pathogenesis of AD, the mechanisms of intramembrane proteolysis and substrate processing by gamma-secretase remain poorly understood. Here, complementary all-atom simulations using a robust Gaussian accelerated molecular dynamics (GaMD) method and biochemical experiments were combined to investigate substrate processing of wildtype and mutant APP by gamma-secretase. The GaMD simulations captured spontaneous activation of gamma-secretase, with hydrogen bonded catalytic aspartates and water poised for proteolysis of APP at the epsilon cleavage site. Furthermore, GaMD simulations revealed that familial AD mutations I4SF and T48P enhanced the initial e cleavage between residues Leu49-ValSO, while WIT mutation shifted the e cleavage site to the amide bond between Thr48-Leu49. Detailed analysis of the GaMD simulations allowed us to identify distinct low-energy conformational states of gamma-secretase, different secondary structures of the wildtype and mutant APP substrate, and important active-site subpockets for catalytic function of the enzyme. The simulation findings were highly consistent with experimental analyses of APP proteolytic products using mass spectrometry and Western blotting. Taken together, the GaMD simulations and biochemical experiments have enabled us to elucidate the mechanisms of gamma-secretase activation and substrate processing, which should facilitate rational computer-aided drug design targeting this functionally important enzyme.

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