Effect of graphene oxide on the conformational transitions of amyloid beta peptide: A molecular dynamics simulation study

Baweja, Lokesh ; Balamurugan, Kanagasabai ; Subramanian, Venkatesan ; Dhawan, Alok (2015) Effect of graphene oxide on the conformational transitions of amyloid beta peptide: A molecular dynamics simulation study Journal of Molecular Graphics and Modelling, 61 . pp. 175-185. ISSN 1093-3263

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Official URL: http://www.sciencedirect.com/science/article/pii/S...

Related URL: http://dx.doi.org/10.1016/j.jmgm.2015.07.007

Abstract

The interactions between nanomaterials (NMs) and amyloid proteins are central to the nanotechnology-based diagnostics and therapy in neurodegenerative disorders such as Alzheimer's and Parkinson's. Graphene oxide (GO) and its derivatives have shown to modulate the aggregation pattern of disease causing amyloid beta (Aβ) peptide. However, the mechanism is still not well understood. Using molecular dynamics simulations, the effect of graphene oxide (GO) and reduced graphene oxide (rGO) having carbon:oxygen ratio of 4:1 and 10:1, respectively, on the conformational transitions (alpha-helix to beta-sheet) and the dynamics of the peptide was investigated. GO and rGO decreased the beta-strand propensity of amino acid residues in Aβ. The peptide displayed different modes of adsorption on GO and rGO. The adsorption on GO was dominated by electrostatic interactions, whereas on rGO, both van der Waals and electrostatic interactions contributed in the adsorption of the peptide. Our study revealed that the slight increase in the hydrophobic patches on rGO made it more effective inhibitor of conformational transitions in the peptide. Alpha helix-beta sheet transition in Aβ peptide could be one of the plausible mechanism by which graphene oxide may inhibit amyloid fibrillation.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Graphene Oxide; Amyloid Beta Peptide; Nanomaterials; Molecular Dynamics Simulation; Neurodegenerative Disorders
ID Code:107154
Deposited On:01 Dec 2017 12:16
Last Modified:01 Dec 2017 12:16

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