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Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures

Many native structures of proteins accomodate complex topological motifs such as knots, lassos, and other geometrical entanglements. How proteins can fold quickly even in the presence of such topological obstacles is a debated question in structural biology. Recently, the hypothesis that energetic f...

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Detalles Bibliográficos
Autores principales: Norbiato, Federico, Seno, Flavio, Trovato, Antonio, Baiesi, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981561/
https://www.ncbi.nlm.nih.gov/pubmed/31892272
http://dx.doi.org/10.3390/ijms21010213
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author Norbiato, Federico
Seno, Flavio
Trovato, Antonio
Baiesi, Marco
author_facet Norbiato, Federico
Seno, Flavio
Trovato, Antonio
Baiesi, Marco
author_sort Norbiato, Federico
collection PubMed
description Many native structures of proteins accomodate complex topological motifs such as knots, lassos, and other geometrical entanglements. How proteins can fold quickly even in the presence of such topological obstacles is a debated question in structural biology. Recently, the hypothesis that energetic frustration might be a mechanism to avoid topological frustration has been put forward based on the empirical observation that loops involved in entanglements are stabilized by weak interactions between amino-acids at their extrema. To verify this idea, we use a toy lattice model for the folding of proteins into two almost identical structures, one entangled and one not. As expected, the folding time is longer when random sequences folds into the entangled structure. This holds also under an evolutionary pressure simulated by optimizing the folding time. It turns out that optmized protein sequences in the entangled structure are in fact characterized by frustrated interactions at the closures of entangled loops. This phenomenon is much less enhanced in the control case where the entanglement is not present. Our findings, which are in agreement with experimental observations, corroborate the idea that an evolutionary pressure shapes the folding funnel to avoid topological and kinetic traps.
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spelling pubmed-69815612020-02-03 Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures Norbiato, Federico Seno, Flavio Trovato, Antonio Baiesi, Marco Int J Mol Sci Article Many native structures of proteins accomodate complex topological motifs such as knots, lassos, and other geometrical entanglements. How proteins can fold quickly even in the presence of such topological obstacles is a debated question in structural biology. Recently, the hypothesis that energetic frustration might be a mechanism to avoid topological frustration has been put forward based on the empirical observation that loops involved in entanglements are stabilized by weak interactions between amino-acids at their extrema. To verify this idea, we use a toy lattice model for the folding of proteins into two almost identical structures, one entangled and one not. As expected, the folding time is longer when random sequences folds into the entangled structure. This holds also under an evolutionary pressure simulated by optimizing the folding time. It turns out that optmized protein sequences in the entangled structure are in fact characterized by frustrated interactions at the closures of entangled loops. This phenomenon is much less enhanced in the control case where the entanglement is not present. Our findings, which are in agreement with experimental observations, corroborate the idea that an evolutionary pressure shapes the folding funnel to avoid topological and kinetic traps. MDPI 2019-12-27 /pmc/articles/PMC6981561/ /pubmed/31892272 http://dx.doi.org/10.3390/ijms21010213 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Norbiato, Federico
Seno, Flavio
Trovato, Antonio
Baiesi, Marco
Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures
title Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures
title_full Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures
title_fullStr Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures
title_full_unstemmed Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures
title_short Folding Rate Optimization Promotes Frustrated Interactions in Entangled Protein Structures
title_sort folding rate optimization promotes frustrated interactions in entangled protein structures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981561/
https://www.ncbi.nlm.nih.gov/pubmed/31892272
http://dx.doi.org/10.3390/ijms21010213
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