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Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon

Author

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  • Aviv A. Rosenberg

    (Technion – Israel Institute of Technology)

  • Ailie Marx

    (Technion – Israel Institute of Technology)

  • Alex M. Bronstein

    (Technion – Israel Institute of Technology)

Abstract

Synonymous codons translate into chemically identical amino acids. Once considered inconsequential to the formation of the protein product, there is evidence to suggest that codon usage affects co-translational protein folding and the final structure of the expressed protein. Here we develop a method for computing and comparing codon-specific Ramachandran plots and demonstrate that the backbone dihedral angle distributions of some synonymous codons are distinguishable with statistical significance for some secondary structures. This shows that there exists a dependence between codon identity and backbone torsion of the translated amino acid. Although these findings cannot pinpoint the causal direction of this dependence, we discuss the vast biological implications should coding be shown to directly shape protein conformation and demonstrate the usefulness of this method as a tool for probing associations between codon usage and protein structure. Finally, we urge for the inclusion of exact genetic information into structural databases.

Suggested Citation

  • Aviv A. Rosenberg & Ailie Marx & Alex M. Bronstein, 2022. "Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30390-9
    DOI: 10.1038/s41467-022-30390-9
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    References listed on IDEAS

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    1. Evelina Angov & Collette J Hillier & Randall L Kincaid & Jeffrey A Lyon, 2008. "Heterologous Protein Expression Is Enhanced by Harmonizing the Codon Usage Frequencies of the Target Gene with those of the Expression Host," PLOS ONE, Public Library of Science, vol. 3(5), pages 1-10, May.
    2. Yogita Sharma & Milad Miladi & Sandeep Dukare & Karine Boulay & Maiwen Caudron-Herger & Matthias Groß & Rolf Backofen & Sven Diederichs, 2019. "A pan-cancer analysis of synonymous mutations," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
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