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A dynamic combinatorial library for biomimetic recognition of dipeptides in water

Small peptides are involved in countless biological processes. Hence selective binding motifs for peptides can be powerful tools for labeling or inhibition. Finding those binding motifs, especially in water which competes for intermolecular H-bonds, poses an enormous challenge. A dynamic combinatori...

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Detalles Bibliográficos
Autores principales: Klepel, Florian, Ravoo, Bart Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356556/
https://www.ncbi.nlm.nih.gov/pubmed/32704325
http://dx.doi.org/10.3762/bjoc.16.131
Descripción
Sumario:Small peptides are involved in countless biological processes. Hence selective binding motifs for peptides can be powerful tools for labeling or inhibition. Finding those binding motifs, especially in water which competes for intermolecular H-bonds, poses an enormous challenge. A dynamic combinatorial library can be a powerful method to overcome this issue. We previously reported artificial receptors emerging form a dynamic combinatorial library of peptide building blocks. In this study we aimed to broaden this scope towards recognition of small peptides. Employing CXC peptide building blocks, we found that cyclic dimers of oxidized CFC bind to the aromatic peptides FF and YY (K ≈ 229–702 M(−1)), while AA binds significantly weaker (K ≈ 65–71 M(−1)).