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

Li Quan Koh; Yi Wee Lim; Zachary P. Gates
Int. J. Pept. Res. Ther., 2022, 28, 62
https://doi.org/10.1007/s10989-022-10370-9

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.

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