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Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study
A multilayered computational workflow was designed to identify a druggable binding site on the surface of the E200K pathogenic mutant of the human prion protein, and to investigate the effect of the binding of small molecules in the inhibition of the early aggregation of this protein. At this purpos...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213589/ https://www.ncbi.nlm.nih.gov/pubmed/34110550 http://dx.doi.org/10.1007/s10822-021-00393-7 |
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author | Agamennone, Mariangela Storchi, Loriano Marrone, Alessandro Paciotti, Roberto |
author_facet | Agamennone, Mariangela Storchi, Loriano Marrone, Alessandro Paciotti, Roberto |
author_sort | Agamennone, Mariangela |
collection | PubMed |
description | A multilayered computational workflow was designed to identify a druggable binding site on the surface of the E200K pathogenic mutant of the human prion protein, and to investigate the effect of the binding of small molecules in the inhibition of the early aggregation of this protein. At this purpose, we developed an efficient computational tool to scan the molecular interaction properties of a whole MD trajectory, thus leading to the characterization of plausible binding regions on the surface of PrP-E200K. These structural data were then employed to drive structure-based virtual screening and fragment-based approaches to the seeking of small molecular binders of the PrP-E200K. Six promising compounds were identified, and their binding stabilities were assessed by MD simulations. Therefore, analyses of the molecular electrostatic potential similarity between the bound complexes and unbound protein evidenced their potential activity as charged-based inhibitors of the PrP-E200K early aggregation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10822-021-00393-7. |
format | Online Article Text |
id | pubmed-8213589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82135892021-07-01 Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study Agamennone, Mariangela Storchi, Loriano Marrone, Alessandro Paciotti, Roberto J Comput Aided Mol Des Article A multilayered computational workflow was designed to identify a druggable binding site on the surface of the E200K pathogenic mutant of the human prion protein, and to investigate the effect of the binding of small molecules in the inhibition of the early aggregation of this protein. At this purpose, we developed an efficient computational tool to scan the molecular interaction properties of a whole MD trajectory, thus leading to the characterization of plausible binding regions on the surface of PrP-E200K. These structural data were then employed to drive structure-based virtual screening and fragment-based approaches to the seeking of small molecular binders of the PrP-E200K. Six promising compounds were identified, and their binding stabilities were assessed by MD simulations. Therefore, analyses of the molecular electrostatic potential similarity between the bound complexes and unbound protein evidenced their potential activity as charged-based inhibitors of the PrP-E200K early aggregation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10822-021-00393-7. Springer International Publishing 2021-06-10 2021 /pmc/articles/PMC8213589/ /pubmed/34110550 http://dx.doi.org/10.1007/s10822-021-00393-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Agamennone, Mariangela Storchi, Loriano Marrone, Alessandro Paciotti, Roberto Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study |
title | Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study |
title_full | Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study |
title_fullStr | Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study |
title_full_unstemmed | Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study |
title_short | Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study |
title_sort | hampering the early aggregation of prp-e200k protein by charge-based inhibitors: a computational study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213589/ https://www.ncbi.nlm.nih.gov/pubmed/34110550 http://dx.doi.org/10.1007/s10822-021-00393-7 |
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