Finding the Right Candidate for the Right Position: A Fast NMR-Assisted Combinatorial Method for Optimizing Nucleic Acids Binders
- Jiménez-Moreno, E. 6
- Montalvillo-Jiménez, Laura. 6
- Santana, A.G. 6
- Gómez, A.M. 6
- Jiménez-Osés, G. 45
- Corzana, F. 4
- Bastida, A. 6
- Jiménez-Barbero, J. 123
- Canada, F.J. 3
- Gómez-Pinto, I. 5
- González, C. 5
- Asensio, J.L. 6
- 1 Basque Foundation for Science, Ikerbasque, Bilbao, Bizkaia, Spain
- 2 Center for Cooperative Research in Biosciences (CIC-bioGUNE), Derio, Bizkaia, Spain
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3
Centro de Investigaciones Biológicas
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4
Universidad de La Rioja
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5
Instituto de Química Física Rocasolano
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Instituto de Química Orgánica General
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ISSN: 0002-7863
Année de publication: 2016
Volumen: 138
Número: 20
Pages: 6463-6474
Type: Article
beta Ver similares en nube de resultadosD'autres publications dans: Journal of the American Chemical Society
Projets liés
2015/00062/001
Résumé
Development of strong and selective binders from promiscuous lead compounds represents one of the most expensive and time-consuming tasks in drug discovery. We herein present a novel fragment-based combinatorial strategy for the optimization of multivalent polyamine scaffolds as DNA/RNA ligands. Our protocol provides a quick access to a large variety of regioisomer libraries that can be tested for selective recognition by combining microdialysis assays with simple isotope labeling and NMR experiments. To illustrate our approach, 20 small libraries comprising 100 novel kanamycin-B derivatives have been prepared and evaluated for selective binding to the ribosomal decoding A-Site sequence. Contrary to the common view of NMR as a low-throughput technique, we demonstrate that our NMR methodology represents a valuable alternative for the detection and quantification of complex mixtures, even integrated by highly similar or structurally related derivatives, a common situation in the context of a lead optimization process. Furthermore, this study provides valuable clues about the structural requirements for selective A-site recognition. © 2016 American Chemical Society.