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bioRxiv · 10.64898/2026.01.16.699853

A comparative investigation of the mannose binding interface in DC-SIGN and MRC1 carbohydrate recognition domains with all-atom molecular dynamics simulations

Geissler, S.·Sacquin-Mora, S.
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Abstract

Protein-carbohydrate interactions play a key role in numerous biological processes, including immune response, and glycan-based ligands that can target specific protein receptors on a cell surface represent promising candidates for therapeutics applications. For example, in retinoblastoma, the DC-SIGN mannose receptor is overexpressed on the surface of pathogenic cells and represents an interesting target for mannose-based ligands. At the same time, these ligands should not bind to the MRC1 receptor, which is expressed by adjacent, healthy, retinal pigment epithelial cells and presents a carbohydrate recognition domain (CRD) similar to the one of DC-SIGN. Therefore, the challenge remains to obtain a detailed picture of the recognition process between carbohydrates and proteins, in order to design effective and selective therapeutic compounds. In this work we used classical, all-atom molecular dynamics (MD) simulations to investigate the interaction between several mannose based ligands and the CRDs from DC-SIGN and MRC1. The analysis of the protein-carbohydrate contacts from the resulting trajectories highlights the variability of the mannose binding modes on both CRDs, and shows how the increased affinity of mannose for the MRC1 CRD can be related to a specific mannose binding state that is not accessible in the DC-SIGN CRD. TOC image: For Table of Contents use only O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/699853v2_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1ea6c2forg.highwire.dtl.DTLVardef@164a064org.highwire.dtl.DTLVardef@15e1348org.highwire.dtl.DTLVardef@1441309_HPS_FORMAT_FIGEXP M_FIG C_FIG

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Geissler, S., Sacquin-Mora, S.. 2026-01-16. A comparative investigation of the mannose binding interface in DC-SIGN and MRC1 carbohydrate recognition domains with all-atom molecular dynamics simulations. https://doi.org/10.64898/2026.01.16.699853

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