Examines glycan-based binders' affinity for lectins, suggesting simple structures can be effective.
Here, we examine and compare different types of glycan-based binders to lectins, a class of carbohydrate-binding proteins involved in many biological recognition processes. We use atomistic molecular dynamics simulations to model metallosupramolecular glycoassemblies of different topologies, core charges, and linker lengths binding in a multivalent manner to glyco-recognizing domains in Concanavalin A (ConA), a well-studied plant lectin with specific affinity for mannose and glucose. We also designed and modeled a small peptidoglycan specifically bound to ConA. The obtained results reveal that despite their small size, simple peptidoglycans can have strong affinities to lectins, comparable to large multivalent supramolecular binders.
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Jafari et al. (2026) studied this question.
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