Structural Modeling of γ-Secretase Aβ n Complex Formation and Substrate Processing

M. Hitzenberger, M. Zacharias

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

The intramembrane aspartyl protease γ-secretase (GSEC) cleaves single-span transmembrane helices including the C-terminal fragment of the amyloid precursor protein (APP). This substrate is initially cleaved at the ϵ-site followed by successive processing (trimming) events mostly in steps of three amino acids. GSEC is responsible for the formation of N-terminal APP amyloid-β (Aβ) peptides of different length (e.g., Aβ 42 ) that can form aggregates involved in Alzheimer's disease pathogenesis. The molecular mechanism of GSEC-APP substrate recognition is key for understanding how different peptide products are formed and could help in designing APP-selective modulators. Based on the known structure of apo GSEC and the APP-C99 fragment we have generated putative structural models of the initial binding in three different possible modes using extensive molecular dynamics (MD) simulations. The binding mode with the substrate helix located in a cleft between the transmembrane helices 2 and 3 of the presenilin subunit was identified as a most likely binding mode. Based on this arrangement, the processing steps were investigated using restraint MD simulations to pull the scissile bond (for each processing step) into a transition like (cleavable) state. This allowed us to analyze in detail the motions and energetic contributions of participating residues. The structural model agrees qualitatively well with the influence of many mutations in GSEC and C99. It also explains the effects of inhibitors, cross-linking, as well as spectroscopic data on GSEC substrate binding and can serve as working model for the future planning of structural and biochemical studies.

Original languageEnglish
Pages (from-to)1826-1840
Number of pages15
JournalACS Chemical Neuroscience
Volume10
Issue number3
DOIs
StatePublished - 20 Mar 2019
Externally publishedYes

Keywords

  • amyloid precursor formation
  • membrane protein dynamics
  • molecular docking
  • molecular dynamics simulation
  • γ-Secretase substrate interaction
  • γ-secretase substrate processing

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