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Computational re-engineering of Amylin sequence with reduced amyloidogenic potential

BACKGROUND: The aggregation of amyloid proteins into fibrils is associated with neurodegenerative diseases such as Alzheimer’s and Type II Diabetes. Different methods have explored ways to impede and inhibit amyloid aggregation. Most attempts in the literature involve applying stress to the environm...

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Autores principales: Smaoui, Mohamed R, Waldispühl, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428086/
https://www.ncbi.nlm.nih.gov/pubmed/25903685
http://dx.doi.org/10.1186/s12900-015-0034-4
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author Smaoui, Mohamed R
Waldispühl, Jérôme
author_facet Smaoui, Mohamed R
Waldispühl, Jérôme
author_sort Smaoui, Mohamed R
collection PubMed
description BACKGROUND: The aggregation of amyloid proteins into fibrils is associated with neurodegenerative diseases such as Alzheimer’s and Type II Diabetes. Different methods have explored ways to impede and inhibit amyloid aggregation. Most attempts in the literature involve applying stress to the environment around amyloids. Varying pH levels, modifying temperature, applying pressure through protein crowding and ligand docking are classical examples of these methods. However, environmental stress usually affects molecular pathways and protein functions in the cell and is challenging to construct in vivo. In this paper, we explore destabilizing amyloid proteins through the manipulation of genetic code to create beneficial substitute molecules for patients with certain deficiencies. RESULTS: To unravel sequence mutations that destabilize amyloid fibrils yet simultaneously conserve native fold, we analyze the structural landscape of amyloid proteins and search for potential areas that could be exploited to weaken aggregation. Our tool, FibrilMutant, analyzes these regions and studies the effect of amino acid point mutations on nucleation and aggregation. This multiple objective approach impedes aggregation without stressing the cellular environment. We identified six main regions in amyloid proteins that contribute to structural stability and generated amino acid mutations to destabilize those regions. Full length fibrils were built from the mutated amyloid monomers and a dipolar-solvent model capturing the effect of dipole-dipole interactions between water and very large molecular systems to assess their aqueous stability was used to generate energy plots. CONCLUSION: Our results are in agreement with experimental studies and suggest novel targeted single point mutations in the Amylin protein, potentially creating a better therapeutic agent than the currently administered Pramlintide drug for diabetes patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12900-015-0034-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-44280862015-05-13 Computational re-engineering of Amylin sequence with reduced amyloidogenic potential Smaoui, Mohamed R Waldispühl, Jérôme BMC Struct Biol Research Article BACKGROUND: The aggregation of amyloid proteins into fibrils is associated with neurodegenerative diseases such as Alzheimer’s and Type II Diabetes. Different methods have explored ways to impede and inhibit amyloid aggregation. Most attempts in the literature involve applying stress to the environment around amyloids. Varying pH levels, modifying temperature, applying pressure through protein crowding and ligand docking are classical examples of these methods. However, environmental stress usually affects molecular pathways and protein functions in the cell and is challenging to construct in vivo. In this paper, we explore destabilizing amyloid proteins through the manipulation of genetic code to create beneficial substitute molecules for patients with certain deficiencies. RESULTS: To unravel sequence mutations that destabilize amyloid fibrils yet simultaneously conserve native fold, we analyze the structural landscape of amyloid proteins and search for potential areas that could be exploited to weaken aggregation. Our tool, FibrilMutant, analyzes these regions and studies the effect of amino acid point mutations on nucleation and aggregation. This multiple objective approach impedes aggregation without stressing the cellular environment. We identified six main regions in amyloid proteins that contribute to structural stability and generated amino acid mutations to destabilize those regions. Full length fibrils were built from the mutated amyloid monomers and a dipolar-solvent model capturing the effect of dipole-dipole interactions between water and very large molecular systems to assess their aqueous stability was used to generate energy plots. CONCLUSION: Our results are in agreement with experimental studies and suggest novel targeted single point mutations in the Amylin protein, potentially creating a better therapeutic agent than the currently administered Pramlintide drug for diabetes patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12900-015-0034-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-24 /pmc/articles/PMC4428086/ /pubmed/25903685 http://dx.doi.org/10.1186/s12900-015-0034-4 Text en © Smaoui and Waldispühl; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Smaoui, Mohamed R
Waldispühl, Jérôme
Computational re-engineering of Amylin sequence with reduced amyloidogenic potential
title Computational re-engineering of Amylin sequence with reduced amyloidogenic potential
title_full Computational re-engineering of Amylin sequence with reduced amyloidogenic potential
title_fullStr Computational re-engineering of Amylin sequence with reduced amyloidogenic potential
title_full_unstemmed Computational re-engineering of Amylin sequence with reduced amyloidogenic potential
title_short Computational re-engineering of Amylin sequence with reduced amyloidogenic potential
title_sort computational re-engineering of amylin sequence with reduced amyloidogenic potential
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428086/
https://www.ncbi.nlm.nih.gov/pubmed/25903685
http://dx.doi.org/10.1186/s12900-015-0034-4
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