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Resolving the fine structure in the energy landscapes of repeat proteins

Ankyrin (ANK) repeat proteins are coded by tandem occurrences of patterns with around 33 amino acids. They often mediate protein–protein interactions in a diversity of biological systems. These proteins have an elongated non-globular shape and often display complex folding mechanisms. This work inve...

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Autores principales: Sanches, Murilo N., Parra, R. Gonzalo, Viegas, Rafael G., Oliveira, Antonio B., Wolynes, Peter G., Ferreiro, Diego U., Leite, Vitor B.P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392621/
https://www.ncbi.nlm.nih.gov/pubmed/37529289
http://dx.doi.org/10.1017/qrd.2022.4
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author Sanches, Murilo N.
Parra, R. Gonzalo
Viegas, Rafael G.
Oliveira, Antonio B.
Wolynes, Peter G.
Ferreiro, Diego U.
Leite, Vitor B.P.
author_facet Sanches, Murilo N.
Parra, R. Gonzalo
Viegas, Rafael G.
Oliveira, Antonio B.
Wolynes, Peter G.
Ferreiro, Diego U.
Leite, Vitor B.P.
author_sort Sanches, Murilo N.
collection PubMed
description Ankyrin (ANK) repeat proteins are coded by tandem occurrences of patterns with around 33 amino acids. They often mediate protein–protein interactions in a diversity of biological systems. These proteins have an elongated non-globular shape and often display complex folding mechanisms. This work investigates the energy landscape of representative proteins of this class made up of 3, 4 and 6 ANK repeats using the energy-landscape visualisation method (ELViM). By combining biased and unbiased coarse-grained molecular dynamics AWSEM simulations that sample conformations along the folding trajectories with the ELViM structure-based phase space, one finds a three-dimensional representation of the globally funnelled energy surface. In this representation, it is possible to delineate distinct folding pathways. We show that ELViMs can project, in a natural way, the intricacies of the highly dimensional energy landscapes encoded by the highly symmetric ankyrin repeat proteins into useful low-dimensional representations. These projections can discriminate between multiplicities of specific parallel folding mechanisms that otherwise can be hidden in oversimplified depictions.
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spelling pubmed-103926212023-08-01 Resolving the fine structure in the energy landscapes of repeat proteins Sanches, Murilo N. Parra, R. Gonzalo Viegas, Rafael G. Oliveira, Antonio B. Wolynes, Peter G. Ferreiro, Diego U. Leite, Vitor B.P. QRB Discov Research Article Ankyrin (ANK) repeat proteins are coded by tandem occurrences of patterns with around 33 amino acids. They often mediate protein–protein interactions in a diversity of biological systems. These proteins have an elongated non-globular shape and often display complex folding mechanisms. This work investigates the energy landscape of representative proteins of this class made up of 3, 4 and 6 ANK repeats using the energy-landscape visualisation method (ELViM). By combining biased and unbiased coarse-grained molecular dynamics AWSEM simulations that sample conformations along the folding trajectories with the ELViM structure-based phase space, one finds a three-dimensional representation of the globally funnelled energy surface. In this representation, it is possible to delineate distinct folding pathways. We show that ELViMs can project, in a natural way, the intricacies of the highly dimensional energy landscapes encoded by the highly symmetric ankyrin repeat proteins into useful low-dimensional representations. These projections can discriminate between multiplicities of specific parallel folding mechanisms that otherwise can be hidden in oversimplified depictions. Cambridge University Press 2022-06-10 /pmc/articles/PMC10392621/ /pubmed/37529289 http://dx.doi.org/10.1017/qrd.2022.4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Research Article
Sanches, Murilo N.
Parra, R. Gonzalo
Viegas, Rafael G.
Oliveira, Antonio B.
Wolynes, Peter G.
Ferreiro, Diego U.
Leite, Vitor B.P.
Resolving the fine structure in the energy landscapes of repeat proteins
title Resolving the fine structure in the energy landscapes of repeat proteins
title_full Resolving the fine structure in the energy landscapes of repeat proteins
title_fullStr Resolving the fine structure in the energy landscapes of repeat proteins
title_full_unstemmed Resolving the fine structure in the energy landscapes of repeat proteins
title_short Resolving the fine structure in the energy landscapes of repeat proteins
title_sort resolving the fine structure in the energy landscapes of repeat proteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392621/
https://www.ncbi.nlm.nih.gov/pubmed/37529289
http://dx.doi.org/10.1017/qrd.2022.4
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