Synthesis of regioisomeric maltose-based Man/Glc glycoclusters to control glycoligand presentation in 3D space

The investigation of carbohydrate recognition in a natural environment suffers from the complexity of overlapping functional effects such as multivalency and heteromultivalency effects. Another key factor in carbohydrate recognition is the presentation mode of glycoligands in three-dimensional (3D) space. In order to trace out the effect of 3D ligand presentation, we utilized an oligosaccharide model to precisely control the spatial relation between a mannose ligand (Man) and a glucose moiety (Glc). A disaccharide (maltose) served as a scaffold to alternately conjugate Man and Glc at position 6 and 6' of a synthetic maltoside, resulting in a pair of regioisomeric heterobivalent glycoclusters. The biological effect of this specific structural tuning was tested in a native system employing mannose-specific adhesion of live E. coli cells. Indeed, the variable 3D presentation of the Man ligand resulted in a 2-fold difference between the regioisomeric heterobivalent glycoclusters as inhibitors of bacterial adhesion. This can be considered a remarkable effect, which could be interpreted by computer-aided modelling of the complexes between the bacterial lectin and the synthetic regioisomeric glycoligands.

Automated Quantification of Hydroxyl Reactivities: Prediction of Glycosylation Reactions

The stereoselectivity and yield in glycosylation reactions are paramount but unpredictable. We have developed a database of acceptor nucleophilic constants (Aka) to quantify the nucleophilicity of hydroxyl groups in glycosylation influenced by the steric, electronic and structural effects, providing a connection between experiments and computer algorithms. The subtle reactivity differences among the hydroxyl groups on various carbohydrate molecules can be defined by Aka, which is easily accessible by a simple and convenient automation system to assure high reproducibility and accuracy. A diverse range of glycosylation donors and acceptors with well-defined reactivity and promoters were organized and processed by the designed software program "GlycoComputer" for prediction of glycosylation reactions without involving sophisticated computational processing. The importance of Aka was further verified by random forest algorithm, and the applicability was tested by the synthesis of a Lewis A skeleton to show that the stereoselectivity and yield can be accurately estimated.

Multivalent glycoligands with lectin/enzyme dual specificity: self-deliverable glycosidase regulators

Multivalent mannosides with inherent macrophage recognition abilities, built on β-cyclodextrin, RAFT cyclopeptide or peptide dendrimer cores, trigger selective inhibition of lysosomal β-glucocerebrosidase or α-mannosidase depending on valency and topology, offering new opportunities in multitargeted drug design.