Affinity Selection from Synthetic Peptide Libraries Enabled by De Novo MS/MS Sequencing

peer-reviewed · International Journal of Peptide Research and Therapeutics · 2022

peer-reviewed · International Journal of Peptide Research and Therapeutics · 2022. Li Quan Koh et al. Recently, de novo MS/MS peptide sequencing has enabled the application of affinity selections to synthetic…
Date 2022-03-01
Type peer-reviewed
Venue International Journal of Peptide Research and Therapeutics
Publisher Springer Science and Business Media LLC
Contribution review
DOI 10.1007/s10989-022-10370-9
Citations (OpenAlex) 10

Abstract

Recently, de novo MS/MS peptide sequencing has enabled the application of affinity selections to synthetic peptide mixtures that approach the diversity of phage libraries (> 108 random peptides). In conjunction with ‘split-mix’ solid phase synthesis to access equimolar peptide mixtures, this approach provides a straightforward means to examine synthetic peptide libraries of considerably higher diversity than has been feasible historically. Here, we offer a critical perspective on this work, report emerging data, and highlight opportunities for further methods refinement. With continued development, ‘affinity selection–mass spectrometry’ may become a complimentary approach to phage display, in vitro selection, and DNA-encoded libraries for the discovery of synthetic ligands that modulate protein function.

Authors

  1. Li Quan Koh · Agency for Science, Technology and Research, Institute of Molecular and Cell Biology
  2. Yi Wee Lim · Agency for Science, Technology and Research, Institute of Chemical and Engineering Sciences
  3. Zachary P. Gates · Agency for Science, Technology and Research, Institute of Chemical and Engineering Sciences, Institute of Molecular and Cell Biology, Massachusetts Institute of Technology

Methods and tools

  • Affinity selection-mass spectrometry: Perspective on affinity selection from synthetic peptide libraries of phage-like diversity, made possible because de novo MS/MS sequencing identifies the binders without a library index.

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