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Title: Characterization of Aβ Monomers through the Convergence of Ensemble Properties among Simulations with Multiple Force Fields

Abstract

We found that amyloid β (Aβ) monomers represent a base state in the pathways of aggregation that result in the fibrils and oligomers implicated in the pathogenesis of Alzheimer’s disease (AD). The structural properties of these intrinsically disordered peptides remain unclear despite extensive experimental and computational investigations. Further, there are mutations within Aβ that change the way the peptide aggregates and are known to cause familial AD (FAD). Here, we analyze the ensembles of different isoforms (Aβ42 and Aβ40) and mutants (E22Δ, D23N, E22K, E22G, and A2T in Aβ40) of Aβ generated with all-atom replica exchange molecular dynamics (REMD) simulations on the μs/replica time scale. These were run using three different force field/water model combinations: OPLS-AA/L and TIP3P (“OPLS”), AMBER99sb-ILDN and TIP4P-Ew (“ILDN”), as well as CHARMM22* and TIP3SP (“CHARMM”). Despite fundamental changes in simulation parameters, we find that the resulting ensembles demonstrate a strong convergence in structural properties. In particular, antiparallel contacts between L17–A21 and A30–L34 are prevalent in ensembles of Aβ40, directly forming β sheets in the OPLS and ILDN combinations. A21–A30 commonly forms an interceding region that rarely interacts with the rest of the peptide. Further, Aβ42 contributes new β hairpin motifs involving V40–I41 in both OPLSmore » and ILDN. However, the structural flexibility of the central region and the electrostatic interactions that characterize it are notably different between the different conditions. Further, for OPLS, each of the FAD mutations disrupts central bend character and increases the polymorphism of antiparallel contacts across the central region. However, the studied mutations in the ILDN set primarily encourage more global contacts involving the N-terminus and the central region, and promote the formation of new β topologies that may seed different aggregates involved in disease phenotypes. Furthermore, these differences aside, the large degree of agreement between simulation sets across multiple force fields provides a generalizable characterization of Aβ that is also consistent with experimental data and models.« less

Authors:
 [1];  [1];  [2]
  1. Rensselaer Polytechnic Inst., Troy, NY (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1240631
Report Number(s):
LA-UR-15-28491
Journal ID: ISSN 1520-6106
Grant/Contract Number:  
MCB-1050966; 5 T32 GM067545-08; AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physical Chemistry. B, Condensed Matter, Materials, Surfaces, Interfaces and Biophysical Chemistry
Additional Journal Information:
Journal Volume: 120; Journal Issue: 2; Journal ID: ISSN 1520-6106
Publisher:
American Chemical Society
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; amyloids Alzheimer disease

Citation Formats

Rosenman, David J., Wang, Chunyu, and García, Angel E. Characterization of Aβ Monomers through the Convergence of Ensemble Properties among Simulations with Multiple Force Fields. United States: N. p., 2016. Web. doi:10.1021/acs.jpcb.5b09379.
Rosenman, David J., Wang, Chunyu, & García, Angel E. Characterization of Aβ Monomers through the Convergence of Ensemble Properties among Simulations with Multiple Force Fields. United States. https://doi.org/10.1021/acs.jpcb.5b09379
Rosenman, David J., Wang, Chunyu, and García, Angel E. Tue . "Characterization of Aβ Monomers through the Convergence of Ensemble Properties among Simulations with Multiple Force Fields". United States. https://doi.org/10.1021/acs.jpcb.5b09379. https://www.osti.gov/servlets/purl/1240631.
@article{osti_1240631,
title = {Characterization of Aβ Monomers through the Convergence of Ensemble Properties among Simulations with Multiple Force Fields},
author = {Rosenman, David J. and Wang, Chunyu and García, Angel E.},
abstractNote = {We found that amyloid β (Aβ) monomers represent a base state in the pathways of aggregation that result in the fibrils and oligomers implicated in the pathogenesis of Alzheimer’s disease (AD). The structural properties of these intrinsically disordered peptides remain unclear despite extensive experimental and computational investigations. Further, there are mutations within Aβ that change the way the peptide aggregates and are known to cause familial AD (FAD). Here, we analyze the ensembles of different isoforms (Aβ42 and Aβ40) and mutants (E22Δ, D23N, E22K, E22G, and A2T in Aβ40) of Aβ generated with all-atom replica exchange molecular dynamics (REMD) simulations on the μs/replica time scale. These were run using three different force field/water model combinations: OPLS-AA/L and TIP3P (“OPLS”), AMBER99sb-ILDN and TIP4P-Ew (“ILDN”), as well as CHARMM22* and TIP3SP (“CHARMM”). Despite fundamental changes in simulation parameters, we find that the resulting ensembles demonstrate a strong convergence in structural properties. In particular, antiparallel contacts between L17–A21 and A30–L34 are prevalent in ensembles of Aβ40, directly forming β sheets in the OPLS and ILDN combinations. A21–A30 commonly forms an interceding region that rarely interacts with the rest of the peptide. Further, Aβ42 contributes new β hairpin motifs involving V40–I41 in both OPLS and ILDN. However, the structural flexibility of the central region and the electrostatic interactions that characterize it are notably different between the different conditions. Further, for OPLS, each of the FAD mutations disrupts central bend character and increases the polymorphism of antiparallel contacts across the central region. However, the studied mutations in the ILDN set primarily encourage more global contacts involving the N-terminus and the central region, and promote the formation of new β topologies that may seed different aggregates involved in disease phenotypes. Furthermore, these differences aside, the large degree of agreement between simulation sets across multiple force fields provides a generalizable characterization of Aβ that is also consistent with experimental data and models.},
doi = {10.1021/acs.jpcb.5b09379},
journal = {Journal of Physical Chemistry. B, Condensed Matter, Materials, Surfaces, Interfaces and Biophysical Chemistry},
number = 2,
volume = 120,
place = {United States},
year = {Tue Jan 12 00:00:00 EST 2016},
month = {Tue Jan 12 00:00:00 EST 2016}
}

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  • DOI: 10.1002/wcms.1359

Cell size effects in the molecular dynamics of the intrinsically disordered Aβ peptide
journal, August 2019

  • Mehra, Rukmankesh; Kepp, Kasper P.
  • The Journal of Chemical Physics, Vol. 151, Issue 8
  • DOI: 10.1063/1.5115085