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Rational Design of a DNA‐Scaffolded High‐Affinity Binder for Langerin

Authors: Bachem, Gunnar; Wamhoff, Eike-Christian; Silberreis, Kim; Kim, Dongyoon; Baukmann, Hannes; Fuchsberger, Felix F.; Dernedde, Jens; +3 Authors

Rational Design of a DNA‐Scaffolded High‐Affinity Binder for Langerin

Abstract

AbstractBinders of langerin could target vaccines to Langerhans cells for improved therapeutic effect. Since langerin has low affinity for monovalent glycan ligands, highly multivalent presentation has previously been key for targeting. Aiming to reduce the amount of ligand required, we rationally designed molecularly defined high‐affinity binders based on the precise display of glycomimetic ligands (Glc2NTs) on DNA‐PNA scaffolds. Rather than mimicking langerin's homotrimeric structure with a C3‐symmetric scaffold, we developed readily accessible, easy‐to‐design bivalent binders. The method considers the requirements for bridging sugar binding sites and statistical rebinding as a means to both strengthen the interactions at single binding sites and amplify the avidity enhancement provided by chelation. This gave a 1150‐fold net improvement over the affinity of the free ligand and provided a nanomolar binder (IC50=300 nM) for specific internalization by langerin‐expressing cells.

Country
Germany
Keywords

Models, Molecular, Binding Sites, peptide nucleic acids, ddc:540, carbohydrate recognition, Molecular Conformation, DNA, Ligands, lectins, Mannose-Binding Lectins, 540 Chemie und zugeordnete Wissenschaften, Antigens, CD, Langerhans Cells, multivalent interactions, Humans, Lectins, C-Type, DNA nanotechnology, Research Articles

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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24
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74
44
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