Modeling of platinum-aryl interaction with amyloid-β peptide

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Abstract

Ligand field molecular mechanics (LFMM), density functional theory (DFT), and semiempirical PM7 methods are used to study the binding of two Pt(II)-L systems to an N-terminal fragment of the amyloid-β peptide, where L = 2,2-bipyridyl or 1,10-phenanthroline. Molecular dynamics simulations are used to explore the conformational freedom of the peptide using LFMM combined with AMBER molecular mechanics parameters. We establish a modeling protocol, allowing for identification and analysis of favorable platinum-binding modes and peptide conformations. Preferred binding modes are identified for each ligand investigated; metal coordination occurs via Nε in His residues for both ligands - His6ε-His13ε and His6ε-His14ε for the bipyridyl and phenanthroline ligands, respectively. The observed change in binding mode for the different ligands suggests that the binding mode of these platinum-based structures can be controlled by the choice of ligand. In the bipy systems, Boltzmann population at 310 K is dominated by a single conformer, while in the phenanthroline case, three conformations make significant contributions to the ensemble. The relative stability of these conformations is due to the inherent stability of binding platinum via Nε in addition to subtle H-bonding effects.

Item Type: Journal Article
Subjects: Q Science > QD Chemistry
Divisions: Faculty of Science, Engineering and Medicine > Science > Chemistry
Library of Congress Subject Headings (LCSH): Ligand field theory, Density functionals
Journal or Publication Title: Journal of Chemical Theory and Computation
Publisher: American Chemical Society
ISSN: 1549-9618
Official Date: 12 January 2016
Dates:
Date
Event
12 January 2016
Published
4 November 2015
Submitted
Volume: 12
Number: 3
Number of Pages: 8
Page Range: pp. 1385-1392
DOI: 10.1021/acs.jctc.5b01045
Status: Peer Reviewed
Publication Status: Published
Date of first compliant deposit: 10 May 2016
Date of first compliant Open Access: 12 January 2017
Funder: Cardiff University, University of Edinburgh, National Institute of General Medical Sciences (U.S.) (NIGMS), Chemical Computing Group (Great Britain)
Grant number: P41-GM103311 (NIGMS)
URI: https://wrap.warwick.ac.uk/78916/

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