Detalle de: Enhancing lectin recognition via precise fluorination: Man5 glycomimetics for targeting DC-SIGN
| Title | Enhancing lectin recognition via precise fluorination: Man5 glycomimetics for targeting DC-SIGN |
| Abstract |
High-mannose N-glycans, particularly Man 9 GlcNAc 2 , are key DC-SIGN ligands but remain synthetically challenging, motivating the development of accessible glycomimetics capable of reproducing lectin recognition. Here, we report a precise fluorination strategy to enhance DC-SIGN recognition using Man 5 -based glycomimetics. Four fluorinated Man 5 derivatives were synthesized with selective substitution at C-2 and/or C-6 of terminal mannoses, preserving Ca 2+ coordination. Biophysical evaluation revealed a strong positional dependence: C-6 fluorination markedly increased affinity, whereas C-2 substitution reduced binding. The (6F,6F)-Man 5 derivative 1 exhibited the highest inhibitory potency, surpassing the natural Man 5 and slightly exceeding the Man 9 epitope in blocking DC-SIGN binding to the SARS-CoV-2 spike protein. NMR binding epitope mapping and MD simulations confirmed preferential engagement of the α(1→3) branch and fluorine-dependent stabilization of local contacts. ITC studies indicated that enhanced binding arises from favorable enthalpic contributions, supported by both polar interactions and fluorination-driven desolvation. These results establish selective fluorination as a powerful strategy to boost lectin ligands affinity and generate potent glycomimetics for targeting DC-SIGN. |
| Apa Reference | Silva-Díaz, A., Thépaut, M., Ramírez-Cárdenas, J., Pérez-Alonso, C., Muñoz-García, J.C., de la Fuente, M.C., Fieschi, F., Angulo, J., Ramos-Soriano, J. & Rojo, J. (2026). Enhancing lectin recognition via precise fluorination: Man5 glycomimetics for targeting DC-SIGN. Bioorganic Chemistry, 174, 109747. 10.1016/j.bioorg.2026.109747 |
| Doi | 10.1016/j.bioorg.2026.109747 |
| Publication Date | Jun 2026 |
| Publication Type | Article |
| Researcher | Juan Carlos Muñoz García |
| Ontology | Computational models and simulations, Biomolecular simulation, Molecular Interactions/Docking |
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