Ultra-large chemical libraries for the discovery of high-affinity peptide binders

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Anthony J. Quartararo
Zachary P. Gates
Bente A. Somsen
Nina Hartrampf
Xiyun Ye
Arisa Shimada
Yasuhiro Kajihara
Christian Ottmann
Bradley L. Pentelute
机构
[1] Massachusetts Institute of Technology,Department of Chemistry
[2] Eindhoven University of Technology,Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems
[3] Osaka University,Department of Chemistry, Graduate School of Science
[4] Massachusetts Institute of Technology,The Koch Institute for Integrative Cancer Research
[5] Massachusetts Institute of Technology,Center for Environmental Health Sciences
[6] Broad Institute of MIT and Harvard,undefined
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High-diversity genetically-encoded combinatorial libraries (108−1013 members) are a rich source of peptide-based binding molecules, identified by affinity selection. Synthetic libraries can access broader chemical space, but typically examine only ~ 106 compounds by screening. Here we show that in-solution affinity selection can be interfaced with nano-liquid chromatography-tandem mass spectrometry peptide sequencing to identify binders from fully randomized synthetic libraries of 108 members—a 100-fold gain in diversity over standard practice. To validate this approach, we show that binders to a monoclonal antibody are identified in proportion to library diversity, as diversity is increased from 106–108. These results are then applied to the discovery of p53-like binders to MDM2, and to a family of 3–19 nM-affinity, α/β-peptide-based binders to 14-3-3. An X-ray structure of one of these binders in complex with 14-3-3σ is determined, illustrating the role of β-amino acids in facilitating a key binding contact.
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