The Dependence of Amyloid‐β Dynamics on Protein Force Fields and Water Models

Arun Kumar Somavarapu, Kasper Planeta Kepp

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

We studied the dynamics of Aβ40, involved in Alzheimer's disease, by using 21 methods combined from Amber03, Amber99sb‐ILDN, Charmm27, Charmm22*, OPLS‐2001, OPLS‐2006, OPLS‐2008, Gromos96‐43a1, Gromos96‐53a6, Gromos96‐54a7, and the water models SPC, TIP3P, TIP4P. Major differences in the structural ensembles were systematized: Amber03, Charmm27, and Gromos96‐54a7 stabilize the helices; Gromos96‐43a1 and Gromos53a6 favor the β‐strands (with Charmm22* and Amber99sb‐ILDN in between), and OPLS produces unstructured ensembles. The accuracy of the NMR chemical shifts was in the order: Charmm22*>Amber99sb‐ILDN>OPLS‐2008≈Gromos96‐43a1>Gromos96‐54a7≈OPLS‐2001>OPLS‐2006>Gromos96‐53a6>Charmm27>Amber03. The computed 3JHNHα‐coupling constants were sensitive to experiment type and Karplus parameterization. Overall, the ensembles of Charmm22* and Amber99sb‐ILDN provided the best agreement with experimental NMR and circular dichroism data, providing a model for the real Aβ monomer ensemble. Also, the polar water model TIP3P significantly favored helix and compact conformations.
Original languageEnglish
JournalChemPhysChem
Volume16
Issue number15
Pages (from-to)3278-3289
Number of pages12
ISSN1439-4235
DOIs
Publication statusPublished - 2015

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