Hyaluronan is a sugar polymer found on the extracellular side, close to the plasma membrane. It is the scaffold of the extracellular matrix due to its high solubility, despite its low negative charge density and unusual length. Hyaluronan is also a known ligand of several glycan-binding proteins. We can improve our understanding of these interactions by characterizing hyaluronan affinity to model amino acid sequences of reduced complexity. Extracted features and fingerprints allow for identifying new potential binding partners and expand the current understanding of hyaluronan's biological role. Here, we use a combination of NMR and molecular dynamics simulations (MD) to study hyaluronan binding to short oligopeptides. We focus on arginine as a known critical amino acid for this interaction and compare it to lysine and glycine to highlight its distinctive features. We can test the binding using 1H NMR chemical shift perturbation (CSP) by titrating hyaluronan with a peptide. CSP not only estimates binding strength but also pinpoints the binding motif involved. Our findings are further explained by MD, which provide an atomistic fingerprint of the hyaluronan-peptide complex. Interestingly, we could not find any NOE signal confirming the CSP observed interactions. The combination of positive CSP with no visible NOEs indicates the presence of a dynamic binding mode in agreement with our MD simulations. This agreement with simulations was only achieved using the prosECCo force field for accounting for electronic polarizability. Overall, we find that arginine, a positively charged amino acid, binds the strongest to the negative hyaluronan, followed by the positive lysine. The hyaluronan's carboxyl and amide groups are the driving force for interacting with the peptides. We prove the importance of the electrostatics interaction but also a specific sidechain affinity that favors arginine.
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