From structural to functional glycomics: core substitutions as molecular switches for shape and lectin affinity of N-glycans

Glycan epitopes of cellular glycoconjugates act as versatile biochemical signals (sugar coding). Here, we test the hypothesis that the common N-glycan modifications by core fucosylation and introduction of the bisecting N-acetylglucosamine moiety have long-range effects with functional consequences. Molecular dynamics simulations indicate a shift in conformational equilibria between linear extension or backfolding of the glycan antennae upon substitution. We also present a new fingerprint-like mode of presentation for this multi-parameter system. In order to delineate definite structure-function relationships, we strategically combined chemoenzymatic synthesis with bioassaying cell binding and the distribution of radioiodinated neoglycoproteins in vivo. Of clinical relevance, tailoring the core region affects serum clearance markedly, e. g., prolonging circulation time for the neoglycoprotein presenting the N-glycan with both substitutions. alpha 2,3-Sialylation is another means toward this end, similarly seen for type II branching in triantennary N-glycans. This discovery signifies that rational glycoengineering along the given lines is an attractive perspective to optimize pharmacokinetic behavior of glycosylated pharmaproteins. Of general importance for the concept of the sugar code, the presented results teach the fundamental lesson that N-glycan core substitutions convey distinct characteristics to the concerned oligosaccharide relevant for cis and trans biorecognition processes. These modifications are thus molecular switches

Roadmap for Computer-Aided Modeling of Theranostics and Related Nanosystems

Detailed understanding of the interactions of novel metal-containing nanoparticles with biological membranes, macromolecules and other molecular targets of the living cell is crucial for the elucidation of the biological actions of such functionalized nanosystems. We present here the construction and modeling of thiolate-protected gold clusters and the prediction of their static and dynamic properties

Roadmap for Computer-Aided Modeling of Theranostics and Related Nanosystems

Detailed understanding of the interactions of novel metal-containing nanoparticles with biological membranes, macromolecules and other molecular targets of the living cell is crucial for the elucidation of the biological actions of such functionalized nanosystems. We present here the construction and modeling of thiolate-protected gold clusters and the prediction of their static and dynamic properties

Roadmap for Computer-Aided Modeling of Theranostics and Related Nanosystems

Detailed understanding of the interactions of novel metal-containing nanoparticles with biological membranes, macromolecules and other molecular targets of the living cell is crucial for the elucidation of the biological actions of such functionalized nanosystems. We present here the construction and modeling of thiolate-protected gold clusters and the prediction of their static and dynamic properties

Conformational changes due to vicinal glycosylation: The branched α-L-Rhap(1-2)[β-D-Galp(1-3)]-β-D-Glc1-OMe trisaccharide compared with its parent disaccharides

Conformations of the α-L-Rhap(1-2)[β-D-Galp(1-3)]-β-D-Glc1-OMe disaccharides and the branched title trisaccharide were examined in DMSO-d6 solution by 1H-nmr. The distance mapping procedure was based on rotating frame nuclear Overhauser effect (NOE) constraints involving C- and O-linked protons, and hydrogen-bond constraints manifested by the splitting of the OH nmr signals for partially deuteriated samples. An isotopomer-selected NOE method for the unequivocal identification of mutually hydrogen-bonded hydroxyl groups was suggested. The length of hydrogen bonds thus detected is considered the only one motionally nonaveraged nmr-derived constraint. Molecular mechanics and molecular dynamics methods were used to model the conformational properties of the studied oligosaccharides. Complex conformational search, relying on a regular , -grid based scanning of the conformational space of the selected glycosidic linkage, combined with simultaneous modeling of different allowed orientations of the pendant groups and the third, neighboring sugar residue, has been carried out. Energy minimizations were performed for each member of the , grid generated set of conformations. Conformational clustering has been done to group the minimized conformations into families with similar values of glycosidic torsion angles. Several stable syn and anti conformations were found for the 1 2 and 1 3 bonds in the studied disaccharides. Vicinal glycosylation affected strongly the occupancy of conformational states in both branches of the title trisaccharide. The preferred conformational family of the trisaccharide (with average , values of 38°, 17° for the 1 2 and 48°, 1° for the 1 3 bond, respectively) was shown by nmr to be stabilized by intramolecular hydrogen bonding between the nonbonded Rha and Gal residues

Structure-Function Relationships of Antimicrobial Peptides and Proteins with Respect to Contact Molecules on Pathogen Surfaces

The Antimicrobial peptides (e.g. defensins, hevein-like molecules and food-protecting peptides like nisin) are able to interact specifically with contact structures on pathogen surfaces. Besides protein receptors, important recognition points for such contacts are provided by pathogen glycan chains or surface lipids. Therefore, structural data concerning surface exposed glycans and lipids are of the highest clinical interest since these recognition functions play a key role when optimising anti-infection therapies. Approaches in nanomedicine and nanopharmacology in which various biophysical techniques such as NMR (Nuclear Magnetic Resonance), AFM (Atomic Force Microscopy), SPR (Surface Plasmon Resonance) and X-ray crystallography can be combined with biochemical and cell-biological methods will lead to improved antimicrobial peptides by this rational drug design approach. Such a strategy is extremely well suited to support clinical studies focussing on an effective fight against multiresistant pathogens. The data sets which are described here can be considered as universal for the design of various antimicrobial drugs against certain pathogens (bacteria, viruses and fungi) which cause severe diseases in humans and animals. Furthermore, these insights are also helpful for progressing developments in the field of food conservation and food preservation. A detailed analysis of the structure-function relationships between antimicrobial peptides and contact molecules on pathogen surfaces at the sub-molecular level will lead to a higher degree of specificity of antimicrobial peptides

Nanomedical Relevance of the Intermolecular Interaction DynamicsExamples from Lysozymes and Insulins

Insulin and lysozyme share the common features of being prone to aggregate and having biomedical importance. Encapsulating lysozyme and insulin in micellar nanoparticles probably would prevent aggregation and facilitate oral drug delivery. Despite the vivid structural knowledge of lysozyme and insulin, the environment-dependent oligomerization (dimer, trimer, and multimer) and associated structural dynamics remain elusive. The knowledge of the intra- and intermolecular interaction profiles has cardinal importance for the design of encapsulation protocols. We have employed various biophysical methods such as NMR spectroscopy, X-ray crystallography, Thioflavin T fluorescence, and atomic force microscopy in conjugation with molecular modeling to improve the understanding of interaction dynamics during homo-oligomerization of lysozyme (human and hen egg) and insulin (porcine, human, and glargine). The results obtained depict the atomistic intra- and intermolecular interaction details of the homo-oligomerization and confirm the propensity to form fibrils. Taken together, the data accumulated and knowledge gained will further facilitate nanoparticle design and production with insulin or lysozyme-related protein encapsulation