Guldin Lab

Technical University of Munich

Bayern (DE2) · Germany

ERC-funded
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ERC Consolidator Grant · 2025

ENGINEERING MULTIVALENCY FOR SUPERSELECTIVE RECOGNITION OF PATHOGEN TARGETS

The recent pandemic has emphasised the need to rapidly develop materials that can detect, inhibit and destroy viruses and other pathogens. Antibodies achieve selective recognition of biological targets at ultralow concentrations via multivalent interactions, i.e. the cooperative binding of multiple sites to cognate receptors. While antibody deployment is ubiquitous in diagnostics and therapy, their animal-based manufacturing is costly, time-consuming, lacks universal applicability and raises ethical concerns following EU Directive 2010/63/EU. Recent theoretical studies have established novel material design principles for the emergence of so-called superselectivity, yet the required…

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