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 curve du...

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Hauptverfasser: Nissley, Daniel A. (VerfasserIn) , Sharma, Ajeet K. (VerfasserIn) , Ahmed, Nabeel (VerfasserIn) , Friedrich, Ulrike A. (VerfasserIn) , Kramer, Günter (VerfasserIn) , Bukau, Bernd (VerfasserIn) , O’Brien, Edward P. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 18 Feb 2016
In: Nature Communications
Year: 2016, Jahrgang: 7, Pages: 10341
ISSN:2041-1723
DOI:10.1038/ncomms10341
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/ncomms10341
Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/ncomms10341
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Verfasserangaben:Daniel A. Nissley, Ajeet K. Sharma, Nabeel Ahmed, Ulrike A. Friedrich, Günter Kramer, Bernd Bukau & Edward P. O’Brien

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520 |a 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. 
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