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Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding.


ABSTRACT: 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.

SUBMITTER: Nissley DA 

PROVIDER: S-EPMC4759629 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding.

Nissley Daniel A DA   Sharma Ajeet K AK   Ahmed Nabeel N   Friedrich Ulrike A UA   Kramer Günter G   Bukau Bernd B   O'Brien Edward P EP  

Nature communications 20160218


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  ...[more]

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