Ultra-large chemical libraries for the discovery of high-affinity peptide binders
High-diversity genetically-encoded combinatorial libraries (10 8 −10 13 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 ~ 10 6 compounds by screening. Here we show that...
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Veröffentlicht in: | Nature communications 2020-06, Vol.11 (1), p.3183-11, Article 3183 |
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Sprache: | eng |
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Zusammenfassung: | High-diversity genetically-encoded combinatorial libraries (10
8
−10
13
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 ~ 10
6
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 10
8
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 10
6
–10
8
. 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.
Synthetic peptide libraries can access broad chemical space, but generally examine only ~ 10
6
compounds. Here, the authors show that in-solution affinity selection, interfaced with nLC-MS/MS sequencing, can identify binders from fully randomized synthetic libraries of 10
8
members. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-020-16920-3 |