Skip to main navigation Skip to search Skip to main content

Fibril elongation by Aβ17-42: Kinetic network analysis of hybrid-resolution molecular dynamics simulations

  • Wei Han
  • , Klaus Schulten*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

120 Citations (Scopus)

Abstract

A critical step of β-amyloid fibril formation is fibril elongation in which amyloid-β monomers undergo structural transitions to fibrillar structures upon their binding to fibril tips. The atomic detail of the structural transitions remains poorly understood. Computational characterization of the structural transitions is limited so far to short Aβ segments (5-10 aa) owing to the long time scale of Aβ fibril elongation. To overcome the computational time scale limit, we combined a hybrid-resolution model with umbrella sampling and replica exchange molecular dynamics and performed altogether ∼1.3 ms of molecular dynamics simulations of fibril elongation for Aβ17-42. Kinetic network analysis of biased simulations resulted in a kinetic model that encompasses all Aβ segments essential for fibril formation. The model not only reproduces key properties of fibril elongation measured in experiments, including Aβ binding affinity, activation enthalpy of Aβ structural transitions and a large time scale gap (τlockdock = 103-104) between Aβ binding and its structural transitions, but also reveals detailed pathways involving structural transitions not seen before, namely, fibril formation both in hydrophobic regions L17-A21 and G37-A42 preceding fibril formation in hydrophilic region E22-A30. Moreover, the model identifies as important kinetic intermediates strand-loop-strand (SLS) structures of Aβ monomers, long suspected to be related to fibril elongation. The kinetic model suggests further that fibril elongation arises faster at the fibril tip with exposed L17-A21, rather than at the other tip, explaining thereby unidirectional fibril growth observed previously in experiments.

Original languageEnglish
Pages (from-to)12450-12460
Number of pages11
JournalJournal of the American Chemical Society
Volume136
Issue number35
Early online date25 Aug 2014
DOIs
Publication statusPublished - 3 Sept 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Fibril elongation by Aβ17-42: Kinetic network analysis of hybrid-resolution molecular dynamics simulations'. Together they form a unique fingerprint.

Cite this