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Side Chain Interactions Can Impede Amyloid Fibril Growth: Replica Exchange Simulations of Aβ Peptide Mutant

Authors: Dmitri K. Klimov; Takako Takeda;

Side Chain Interactions Can Impede Amyloid Fibril Growth: Replica Exchange Simulations of Aβ Peptide Mutant

Abstract

Using replica exchange molecular dynamics, we study the effect of Asp23Tyr mutation on Abeta(10-40) fibril growth. The effect of this mutation is revealed through the computation of free energy landscapes, the distributions of peptide-fibril interactions, and by comparison with the wild-type Abeta(10-40) peptide. Asp23Tyr mutation has a relatively minor influence on the docking of Abeta peptides to the fibril. However, it has a strong impact on the locking stage due to profound stabilization of the parallel in-registry beta-sheets formed by the peptides on the fibril edge. The enhanced stability of parallel beta-sheets results from the deletion of side chain interactions formed by Asp23, which are incompatible with the fibril-like conformers. Consequently, Asp23Tyr mutation is expected to promote fibril growth. We argue that strong off-registry side chain interactions may slow down fibril assembly as it occurs for the wild-type Abeta peptide. The analysis of experimental data offers support to our in silico conclusions.

Related Organizations
Keywords

Aspartic Acid, Amyloid beta-Peptides, Magnetic Resonance Spectroscopy, Molecular Sequence Data, Biophysics, Molecular Conformation, Models, Biological, Protein Structure, Secondary, Mutation, Solvents, Humans, Thermodynamics, Tyrosine, Computer Simulation, Amino Acid Sequence, Peptides

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    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Average
Top 10%
hybrid