Author
Listed:
- Daniel A. Nissley
(Pennsylvania State University)
- Ajeet K. Sharma
(Pennsylvania State University)
- Nabeel Ahmed
(Bioinformatics and Genomics Graduate Program, The Huck Institutes of the Life Sciences, Pennsylvania State University)
- Ulrike A. Friedrich
(Center for Molecular Biology of the University of Heidelberg (ZMBH)
German Cancer Research Center)
- Günter Kramer
(Center for Molecular Biology of the University of Heidelberg (ZMBH)
German Cancer Research Center)
- Bernd Bukau
(Center for Molecular Biology of the University of Heidelberg (ZMBH)
German Cancer Research Center)
- Edward P. O’Brien
(Pennsylvania State University
Bioinformatics and Genomics Graduate Program, The Huck Institutes of the Life Sciences, Pennsylvania State University)
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.
Suggested Citation
Daniel A. Nissley & Ajeet K. Sharma & Nabeel Ahmed & Ulrike A. Friedrich & Günter Kramer & Bernd Bukau & Edward P. O’Brien, 2016.
"Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding,"
Nature Communications, Nature, vol. 7(1), pages 1-13, April.
Handle:
RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10341
DOI: 10.1038/ncomms10341
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