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Structure-Based Design of Non-natural Macrocyclic Peptides That Inhibit Protein–Protein Interactions

[Image: see text] Macrocyclic peptides can interfere with challenging biomolecular targets including protein–protein interactions. Whereas there are various approaches that facilitate the identification of peptide-derived ligands, their evolution into higher affinity binders remains a major hurdle....

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Detalles Bibliográficos
Autores principales: Krüger, Dennis M., Glas, Adrian, Bier, David, Pospiech, Nicole, Wallraven, Kerstin, Dietrich, Laura, Ottmann, Christian, Koch, Oliver, Hennig, Sven, Grossmann, Tom N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682607/
https://www.ncbi.nlm.nih.gov/pubmed/29028171
http://dx.doi.org/10.1021/acs.jmedchem.7b01221
Descripción
Sumario:[Image: see text] Macrocyclic peptides can interfere with challenging biomolecular targets including protein–protein interactions. Whereas there are various approaches that facilitate the identification of peptide-derived ligands, their evolution into higher affinity binders remains a major hurdle. We report a virtual screen based on molecular docking that allows the affinity maturation of macrocyclic peptides taking non-natural amino acids into consideration. These macrocycles bear large and flexible substituents that usually complicate the use of docking approaches. A virtual library containing more than 1400 structures was screened against the target focusing on docking poses with the core structure resembling a known bioactive conformation. Based on this screen, a macrocyclic peptide 22 involving two non-natural amino acids was evolved showing increased target affinity and biological activity. Predicted binding modes were verified by X-ray crystallography. The presented workflow allows the screening of large macrocyclic peptides with diverse modifications thereby expanding the accessible chemical space and reducing synthetic efforts.