4.6 Article

Molecular Simulations Reveal Terminal Group Mediated Stabilization of Helical Conformers in Both Amyloid-β42 and α-Synuclein

期刊

ACS CHEMICAL NEUROSCIENCE
卷 10, 期 6, 页码 2830-2842

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acschemneuro.9b00053

关键词

amyloid-beta 42; alpha-synuclein; N-terminus; C-terminus; helical intermediates; intrinsically disordered proteins; force field; water model; MD simulation

资金

  1. Science Foundation Ireland (SFI) [15/CDA/3491]
  2. Mis_ing Link EU Joint Programme - Neurodegenerative Disease Research (JPND) project
  3. Science Foundation Ireland (SFI) [15/CDA/3491] Funding Source: Science Foundation Ireland (SFI)

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The presence of partially structured helices in natively unfolded amyloid-beta 42 (A beta 42) and alpha-synuclein (alpha S) has been shown to accelerate fibrillation in the onset of Alzheimer's and Parkinson's disease, respectively. At the other extreme, folded stable helical conformers have also been reported to resist amyloid formation. Recent studies indicate that amyloidogenic aggregation can be impeded using small molecules that stabilize the alpha-helical monomers and switch off the neurotoxic pathway. We predict a common intrapeptide route to stabilization based on the plasticity of helical conformations of A beta 42 and alpha S as assessed through extensive atomistic molecular dynamics (MD) computer simulations ( similar to 36 mu s) across ten distinct protein force field and water model combinations. Computed free energies and interaction maps (not obtainable from experiments alone) show that flexible terminal groups (N-terminus of A beta 42 and C-terminus of alpha S) show a tendency to stabilize folded helical conformations in both peptides via primary hydrophobic interactions with central hydrophobic domains, and secondary salt bridges with other domains. These interactions confer aggregation resistance by decreasing the population of partially structured helices and are absent in control simulations of complete unfolding. Computed helical stability is also significantly reduced in terminal-deleted variants. The models suggest new strategies to tackle neurodegeneration by rationally re-engineering terminal groups to optimize their predicted ability to deactivate helical monomers.

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