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Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding
The rates at which domains fold and codons are translated are important factors in determining whether a nascent protein will co-translationally fold and function or misfold and malfunction. Here we develop a chemical kinetic model that calculates a protein domain's co-translational folding cur...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759629/ https://www.ncbi.nlm.nih.gov/pubmed/26887592 http://dx.doi.org/10.1038/ncomms10341 |
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author | Nissley, Daniel A. Sharma, Ajeet K. Ahmed, Nabeel Friedrich, Ulrike A. Kramer, Günter Bukau, Bernd O'Brien, Edward P. |
author_facet | Nissley, Daniel A. Sharma, Ajeet K. Ahmed, Nabeel Friedrich, Ulrike A. Kramer, Günter Bukau, Bernd O'Brien, Edward P. |
author_sort | Nissley, Daniel A. |
collection | PubMed |
description | The rates at which domains fold and codons are translated are important factors in determining whether a nascent protein will co-translationally fold and function or misfold and malfunction. Here we develop a chemical kinetic model that calculates a protein domain's co-translational folding curve during synthesis using only the domain's bulk folding and unfolding rates and codon translation rates. We show that this model accurately predicts the course of co-translational folding measured in vivo for four different protein molecules. We then make predictions for a number of different proteins in yeast and find that synonymous codon substitutions, which change translation-elongation rates, can switch some protein domains from folding post-translationally to folding co-translationally—a result consistent with previous experimental studies. Our approach explains essential features of co-translational folding curves and predicts how varying the translation rate at different codon positions along a transcript's coding sequence affects this self-assembly process. |
format | Online Article Text |
id | pubmed-4759629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47596292016-03-04 Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding Nissley, Daniel A. Sharma, Ajeet K. Ahmed, Nabeel Friedrich, Ulrike A. Kramer, Günter Bukau, Bernd O'Brien, Edward P. Nat Commun Article The rates at which domains fold and codons are translated are important factors in determining whether a nascent protein will co-translationally fold and function or misfold and malfunction. Here we develop a chemical kinetic model that calculates a protein domain's co-translational folding curve during synthesis using only the domain's bulk folding and unfolding rates and codon translation rates. We show that this model accurately predicts the course of co-translational folding measured in vivo for four different protein molecules. We then make predictions for a number of different proteins in yeast and find that synonymous codon substitutions, which change translation-elongation rates, can switch some protein domains from folding post-translationally to folding co-translationally—a result consistent with previous experimental studies. Our approach explains essential features of co-translational folding curves and predicts how varying the translation rate at different codon positions along a transcript's coding sequence affects this self-assembly process. Nature Publishing Group 2016-02-18 /pmc/articles/PMC4759629/ /pubmed/26887592 http://dx.doi.org/10.1038/ncomms10341 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Nissley, Daniel A. Sharma, Ajeet K. Ahmed, Nabeel Friedrich, Ulrike A. Kramer, Günter Bukau, Bernd O'Brien, Edward P. Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding |
title | Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding |
title_full | Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding |
title_fullStr | Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding |
title_full_unstemmed | Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding |
title_short | Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding |
title_sort | accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759629/ https://www.ncbi.nlm.nih.gov/pubmed/26887592 http://dx.doi.org/10.1038/ncomms10341 |
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