Atomistic molecular simulations of Aβ-Zn conformational ensembles

Proteins. 2024 Jan;92(1):134-144. doi: 10.1002/prot.26590. Epub 2023 Sep 25.

Abstract

The amyloid-forming Aβ peptide is able to interact with metal cations to form very stable complexes that influence fibril formation and contribute to the onset of Alzheimer's disease. Multiple structures of peptides derived from Aβ in complex with different metals have been resolved experimentally to provide an atomic-level description of the metal-protein interactions. However, Aβ is intrinsically disordered, and hence more amenable to an ensemble description. Molecular dynamics simulations can now reach the timescales needed to generate ensembles for these type of complexes. However, this requires accurate force fields both for the protein and the protein-metal interactions. Here we use state-of-the-art methods to generate force field parameters for the Zn(II) cations in a set of complexes formed by different Aβ variants and combine them with the Amber99SB*-ILDN optimized force field. Upon comparison of NMR experiments with the simulation results, further optimized with a Bayesian/Maximum entropy approach, we provide an accurate description of the molecular ensembles for most Aβ-metal complexes. We find that the resulting conformational ensembles are more heterogeneous than the NMR models deposited in the Protein Data Bank.

Keywords: amyloid; force field; intrinsically disordered proteins; molecular dynamics.

MeSH terms

  • Amyloid beta-Peptides* / chemistry
  • Bayes Theorem
  • Cations
  • Molecular Dynamics Simulation*
  • Protein Conformation
  • Zinc

Substances

  • Amyloid beta-Peptides
  • Zinc
  • Cations