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Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis

Senile plaques are extracellular deposits found in patients with Alzheimer’s Disease (AD) and are mainly formed by insoluble fibrils of β-amyloid (Aβ) peptides. The mechanistic details about how AD develops are not fully understood yet, but metals such as Cu, Zn, or Fe are proposed to have a non-inn...

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Autores principales: Mujika, Jon I., Rodríguez-Guerra Pedregal, Jaime, Lopez, Xabier, Ugalde, Jesus M., Rodríguez-Santiago, Luis, Sodupe, Mariona, Maréchal, Jean-Didier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal Society of Chemistry 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613242/
https://www.ncbi.nlm.nih.gov/pubmed/28970891
http://dx.doi.org/10.1039/c7sc01296a
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author Mujika, Jon I.
Rodríguez-Guerra Pedregal, Jaime
Lopez, Xabier
Ugalde, Jesus M.
Rodríguez-Santiago, Luis
Sodupe, Mariona
Maréchal, Jean-Didier
author_facet Mujika, Jon I.
Rodríguez-Guerra Pedregal, Jaime
Lopez, Xabier
Ugalde, Jesus M.
Rodríguez-Santiago, Luis
Sodupe, Mariona
Maréchal, Jean-Didier
author_sort Mujika, Jon I.
collection PubMed
description Senile plaques are extracellular deposits found in patients with Alzheimer’s Disease (AD) and are mainly formed by insoluble fibrils of β-amyloid (Aβ) peptides. The mechanistic details about how AD develops are not fully understood yet, but metals such as Cu, Zn, or Fe are proposed to have a non-innocent role. Many studies have also linked the non biological metal aluminum with AD, a species whose concentration in the environment and food has been constantly increasing since the industrial revolution. Gaining a molecular picture of how Al(iii) interacts with an Aβ peptide is of fundamental interest to improve understanding of the many variables in the evolution of AD. So far, no consensus has been reached on how this metal interacts with Aβ, partially due to the experimental complexity of detecting and quantifying the resulting Al(iii)–Aβ complexes. Computational chemistry arises as a powerful alternative to investigate how Al(iii) can interact with Aβ peptides, as suitable strategies could shed light on the metal–peptide description at the molecular level. However, the absence of any reliable template that could be used for the modeling of the metallopeptide structure makes computational insight extremely difficult. Here, we present a novel strategy to generate accurate 3D models of the Al(iii)–Aβ complexes, which still circumvents first principles simulations of metal binding to peptides of Aβ. The key to this approach lies in the identification of experimental structures of the isolated peptide that are favourably pre-organized for the binding of a given metal in configurations of the first coordination sphere that were previously identified as the most stable with amino acid models. This approach solves the problem of the absence of clear structural templates for novel metallopeptide constructs. The posterior refinement of the structures via QM/MM and MD calculations allows us to provide, for the first time, physically sound models for Al(iii)–Aβ complexes with a 1 : 1 stoichiometry, where up to three carboxylic groups are involved in the metal binding, with a clear preference towards Glu3, Asp7, and Glu11.
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spelling pubmed-56132422017-10-02 Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis Mujika, Jon I. Rodríguez-Guerra Pedregal, Jaime Lopez, Xabier Ugalde, Jesus M. Rodríguez-Santiago, Luis Sodupe, Mariona Maréchal, Jean-Didier Chem Sci Chemistry Senile plaques are extracellular deposits found in patients with Alzheimer’s Disease (AD) and are mainly formed by insoluble fibrils of β-amyloid (Aβ) peptides. The mechanistic details about how AD develops are not fully understood yet, but metals such as Cu, Zn, or Fe are proposed to have a non-innocent role. Many studies have also linked the non biological metal aluminum with AD, a species whose concentration in the environment and food has been constantly increasing since the industrial revolution. Gaining a molecular picture of how Al(iii) interacts with an Aβ peptide is of fundamental interest to improve understanding of the many variables in the evolution of AD. So far, no consensus has been reached on how this metal interacts with Aβ, partially due to the experimental complexity of detecting and quantifying the resulting Al(iii)–Aβ complexes. Computational chemistry arises as a powerful alternative to investigate how Al(iii) can interact with Aβ peptides, as suitable strategies could shed light on the metal–peptide description at the molecular level. However, the absence of any reliable template that could be used for the modeling of the metallopeptide structure makes computational insight extremely difficult. Here, we present a novel strategy to generate accurate 3D models of the Al(iii)–Aβ complexes, which still circumvents first principles simulations of metal binding to peptides of Aβ. The key to this approach lies in the identification of experimental structures of the isolated peptide that are favourably pre-organized for the binding of a given metal in configurations of the first coordination sphere that were previously identified as the most stable with amino acid models. This approach solves the problem of the absence of clear structural templates for novel metallopeptide constructs. The posterior refinement of the structures via QM/MM and MD calculations allows us to provide, for the first time, physically sound models for Al(iii)–Aβ complexes with a 1 : 1 stoichiometry, where up to three carboxylic groups are involved in the metal binding, with a clear preference towards Glu3, Asp7, and Glu11. Royal Society of Chemistry 2017-07-01 2017-05-09 /pmc/articles/PMC5613242/ /pubmed/28970891 http://dx.doi.org/10.1039/c7sc01296a Text en This journal is © The Royal Society of Chemistry 2017 http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Chemistry
Mujika, Jon I.
Rodríguez-Guerra Pedregal, Jaime
Lopez, Xabier
Ugalde, Jesus M.
Rodríguez-Santiago, Luis
Sodupe, Mariona
Maréchal, Jean-Didier
Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis
title Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis
title_full Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis
title_fullStr Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis
title_full_unstemmed Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis
title_short Elucidating the 3D structures of Al(iii)–Aβ complexes: a template free strategy based on the pre-organization hypothesis
title_sort elucidating the 3d structures of al(iii)–aβ complexes: a template free strategy based on the pre-organization hypothesis
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613242/
https://www.ncbi.nlm.nih.gov/pubmed/28970891
http://dx.doi.org/10.1039/c7sc01296a
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