Nonproteinogenic deep mutational scanning of linear and cyclic peptides.

Proc Natl Acad Sci U S A

Department of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan;

Published: October 2018

AI Article Synopsis

  • - The study addresses the challenge of analyzing how polypeptides interact at a high resolution by incorporating nonproteinogenic amino acids, which aren't found in the universal genetic code.
  • - A new method combines genetic code reprogramming with deep mutational scanning, allowing for the simultaneous substitution of various amino acids in peptides and the measurement of their binding thermodynamics in a single experiment.
  • - This technique was validated by analyzing two model peptides, yielding detailed structure-activity maps that enhance understanding of protein interactions and facilitate the optimization of binding properties and physical characteristics.

Article Abstract

High-resolution structure-activity analysis of polypeptides requires amino acid structures that are not present in the universal genetic code. Examination of peptide and protein interactions with this resolution has been limited by the need to individually synthesize and test peptides containing nonproteinogenic amino acids. We describe a method to scan entire peptide sequences with multiple nonproteinogenic amino acids and, in parallel, determine the thermodynamics of binding to a partner protein. By coupling genetic code reprogramming to deep mutational scanning, any number of amino acids can be exhaustively substituted into peptides, and single experiments can return all free energy changes of binding. We validate this approach by scanning two model protein-binding peptides with 21 diverse nonproteinogenic amino acids. Dense structure-activity maps were produced at the resolution of single aliphatic atom insertions and deletions. This permits rapid interrogation of interaction interfaces, as well as optimization of affinity, fine-tuning of physical properties, and systematic assessment of nonproteinogenic amino acids in binding and folding.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205457PMC
http://dx.doi.org/10.1073/pnas.1809901115DOI Listing

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