Structures of the amyloid β-peptides Aβ1-40 and Aβ1-42 as influenced by pH and a D-peptide

Olujide O Olubiyi1, Birgit Strodel

  • 1Institute of Complex Systems: Structural Biochemistry, Research Centre Jülich, Germany.

Insights

Molecular dynamics simulations reveal force field ffG53a6 better models Alzheimer's peptides Aβ(1-40) and Aβ(1-42). The peptide D3 binds Aβ(1-42), reducing beta-sheet structures and inhibiting amyloid formation.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Neuroscience

Background:

  • Alzheimer's disease (AD) is characterized by the aggregation of amyloid peptides, primarily Aβ(1-40) and Aβ(1-42).
  • Understanding the secondary structure and conformational dynamics of these peptides is crucial for developing therapeutic strategies.
  • Molecular dynamics (MD) simulations offer a powerful tool to investigate peptide behavior at the atomic level.

Purpose of the Study:

  • To compare the secondary structure of Aβ(1-40) and Aβ(1-42) using microsecond-scale MD simulations.
  • To evaluate the performance of two GROMOS96 force fields (ffG43a2 and ffG53a6) in modeling these peptides.
  • To investigate the structural effects of pH and the binding of the antiamyloid peptide D3 on Aβ(1-42).

Main Methods:

  • Microsecond-scale molecular dynamics (MD) simulations of Aβ(1-40) and Aβ(1-42) using GROMOS96 force fields ffG43a2 and ffG53a6.
  • Calculation and validation of NMR chemical shifts against experimental data to characterize sampled conformations.
  • Simulation of Aβ(1-42) under varying pH conditions and in complex with the D3 peptide.

Main Results:

  • Significant peptide and force field-dependent differences were observed in the conformations of Aβ(1-40) and Aβ(1-42).
  • The ffG53a6 force field demonstrated superior ability in modeling the structural propensities of both Aβ(1-40) and Aβ(1-42) compared to ffG43a2.
  • Under acidic conditions, histidine protonation in Aβ(1-42) promoted β-sheet formation.
  • Binding of D3 to Aβ(1-42) was driven by electrostatic interactions and resulted in a significant reduction of β-sheet structures, potentially explaining its amyloid-inhibiting properties.

Conclusions:

  • The ffG53a6 force field is recommended for future simulations of Aβ(1-40) and Aβ(1-42).
  • pH influences Aβ(1-42) secondary structure through histidine protonation.
  • The D3 peptide inhibits amyloid formation by disrupting Aβ(1-42) β-sheet structures via electrostatic interactions.

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