Cyclic peptides with engineered protein-binding activity have gained increasing attention for use in therapeutic and biotechnology applications. We describe the efficient isolation and characterization of cyclic peptide binders from genetically encoded combinatorial libraries using yeast surface display. Here, peptide cyclization is achieved by disuccinimidyl glutarate-mediated cross-linking of amine groups within a linear peptide sequence that is expressed as a yeast cell surface fusion. Using this approach, we first screened a library of cyclic heptapeptides using magnetic selection, followed by fluorescence activated cell sorting (FACS) to isolate binders for a model target (lysozyme) with low micromolar binding affinity (K_D ∼ 1.2-3.7 μM). The isolated peptides bind lysozyme selectively and only when cyclized. Importantly, we showed that yeast surface displayed cyclic peptides can be used to efficiently obtain quantitative estimates of binding affinity, circumventing the need for chemical synthesis of the selected peptides. Subsequently, to demonstrate broader applicability of our approach, we isolated cyclic heptapeptides that bind human interleukin-17 (IL-17) using yeast-displayed IL-17 as a target for magnetic selection, followed by FACS using recombinant IL-17. Molecular docking simulations and follow-up experimental analyses identified a candidate cyclic peptide that likely binds IL-17 in its receptor binding region with moderate apparent affinity (K_D ∼ 300 nM). Taken together, our results show that yeast surface display can be used to efficiently isolate and characterize cyclic peptides generated by chemical modification from combinatorial libraries.

• PMID: 32786323
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Journal Article | Research Support, N.I.H., Extramural | Research Support, U.S. Gov't, Non-P.H.S.

Authors

Bacon K, Blain A, Burroughs M, McArthur N, Rao BM, Menegatti S

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