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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
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author Klepel, Florian
Ravoo, Bart Jan
author_facet Klepel, Florian
Ravoo, Bart Jan
author_sort Klepel, Florian
collection PubMed
description 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)).
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spelling pubmed-73565562020-07-22 A dynamic combinatorial library for biomimetic recognition of dipeptides in water Klepel, Florian Ravoo, Bart Jan Beilstein J Org Chem Full Research Paper 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)). Beilstein-Institut 2020-07-02 /pmc/articles/PMC7356556/ /pubmed/32704325 http://dx.doi.org/10.3762/bjoc.16.131 Text en Copyright © 2020, Klepel and Ravoo https://creativecommons.org/licenses/by/4.0https://www.beilstein-journals.org/bjoc/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the authors and source are credited. The license is subject to the Beilstein Journal of Organic Chemistry terms and conditions: (https://www.beilstein-journals.org/bjoc/terms)
spellingShingle Full Research Paper
Klepel, Florian
Ravoo, Bart Jan
A dynamic combinatorial library for biomimetic recognition of dipeptides in water
title A dynamic combinatorial library for biomimetic recognition of dipeptides in water
title_full A dynamic combinatorial library for biomimetic recognition of dipeptides in water
title_fullStr A dynamic combinatorial library for biomimetic recognition of dipeptides in water
title_full_unstemmed A dynamic combinatorial library for biomimetic recognition of dipeptides in water
title_short A dynamic combinatorial library for biomimetic recognition of dipeptides in water
title_sort dynamic combinatorial library for biomimetic recognition of dipeptides in water
topic Full Research Paper
url 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
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