Automated affinity selection for rapid discovery of peptide binders
The Pentelute Lab aims to invent new chemistry for the efficient and selective modification of proteins, to ‘hijack’ these biological machines for efficient drug delivery into cells and to create new machines to rapidly and efficiently manufacture peptides and proteins.
Pentelute Lab, Chemistry, MIT, Chemistry Department, Boston, Cambridge, Biology, Peptides, Peptide, Proteins, Science, Rapid, Brad Pentelute, Brad,
portfolio_page-template-default,single,single-portfolio_page,postid-17748,bridge-core-3.0.1,qode-page-transition-enabled,ajax_fade,page_not_loaded,,paspartu_enabled,paspartu_on_top_fixed,paspartu_on_bottom_fixed,qode_grid_1200,qode_popup_menu_push_text_top,qode-theme-ver-28.7,qode-theme-bridge,disabled_footer_top,wpb-js-composer js-comp-ver-6.8.0,vc_responsive

Automated affinity selection for rapid discovery of peptide binders

Automated affinity selection for rapid discovery of peptide binders

Chem. Sci., 2021,12, 10817-10824

Genwei Zhang, Chengxi Li, Anthony J. Quartararo, Andrei Loasand Bradley L. Pentelute


In-solution affinity selection (AS) of large synthetic peptide libraries affords identification of binders to protein targets through access to an expanded chemical space. Standard affinity selection methods, however, can be time-consuming, low-throughput, or provide hits that display low selectivity to the target. Here we report an automated bio-layer interferometry (BLI)-assisted affinity selection platform. When coupled with tandem mass spectrometry (MS), this method enables both rapid de novo discovery and affinity maturation of known peptide binders with high selectivity. The BLI-assisted AS-MS technology also features real-time monitoring of the peptide binding during the library selection process, a feature unattainable by current selection approaches. We show the utility of the BLI AS-MS platform toward rapid identification of novel nanomolar (dissociation constant, KD < 50 nM) non-canonical binders to the leukemia-associated oncogenic protein menin. To our knowledge, this is the first application of BLI to the affinity selection of synthetic peptide libraries. We believe our approach can significantly accelerate the use of synthetic peptidomimetic libraries in drug discovery.

2021, Publications