Koh, L.Q., Lim, Y.W. and Gates, Z.P. Affinity Selection from Synthetic Peptide Libraries Enabled by De Novo MS/MS Sequencing. Int J Pept Res Ther 28, 62 (2022). 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 (greater than 10^8 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.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the A*STAR - HHP industry alignment fund pre-positioning program
Grant Reference no. : H17/01/a0/010
This research / project is supported by the A*STAR - HHP industry alignment fund pre-positioning program
Grant Reference no. : H20H6a0030