SOACS index: an easy NMR-based query for glycan retrieval

Novel Hybrid Triazoline - Triazole Glycosides: Synthesis, Characterization, Antimicrobial Activity study via In Vitro, and In Silico Means

Series of novel 1,2,3-triazole, and 1,2,3- triazoline glycosides (a-e) were efficiently synthesized starting from d-arabinose in an effort to synthesize a new type of hybrid molecules containing sugar azide. The key step involved is the introduction of a new group, ethylene glycol, to the anomeric site and protection of the hydroxyl groups with acetic anhydride. Following that, the acetyl group is converted into ethylene glycol to tosylate. Compound Azido ethyl-O-β-d-arabinofuranoside 4 was synthesized with good yield by treating the derivative 3 with sodium azide, which displaced the tosylate 3 and replaced it with the azide group. The new glycosides were synthesized via a 1,3-dipolar cycloaddition reaction between the intermediate compound 4 and several alkenes and alkynes. The triazole and triazoline compounds were characterized by FT-IR, 1H NMR, 13C NMR, LC/MS-IT-TOF spectral, and C·H.N. analysis. The antimicrobial screening was assayed using the disc diffusion technique revealed moderate to high potential inhibitory values against three test microorganisms compared to standard drugs. Their pharmacokinetics evaluation also showed promising drug-likeness and ADME properties. Furthermore, density functional theory (DFT) was utilized to obtain the molecular geometry of the title compounds utilizing B3LYP/6-311G++ (d, p), molecular electrostatic potential (MEP), frontier molecular orbitals (FMOs) through the investigation of HOMO and LUMO orbitals, and energy gap value. A lower energy gap value denotes that electrons can be transported more easily, indicating that molecule (b) is more reactive than other compounds. Molecular docking analysis revealed that all the designed triazole and triazoline glycosides interacted strongly inside the active site of the enzyme (PDB ID: 2Q85). and exhibits high docking scores, higher than the standard drug. The range of docking scores is -7.99 kcal/mol compound (a) to -7.42 kcal/mol compound (e).

Primary Structure of Glycans by NMR Spectroscopy

Glycans, carbohydrate molecules in the realm of biology, are present as biomedically important glycoconjugates and a characteristic aspect is that their structures in many instances are branched. In determining the primary structure of a glycan, the sugar components including the absolute configuration and ring form, anomeric configuration, linkage(s), sequence, and substituents should be elucidated. Solution state NMR spectroscopy offers a unique opportunity to resolve all these aspects at atomic resolution. During the last two decades, advancement of both NMR experiments and spectrometer hardware have made it possible to unravel carbohydrate structure more efficiently. These developments applicable to glycans include, inter alia, NMR experiments that reduce spectral overlap, use selective excitations, record tilted projections of multidimensional spectra, acquire spectra by multiple receivers, utilize polarization by fast-pulsing techniques, concatenate pulse-sequence modules to acquire several spectra in a single measurement, acquire pure shift correlated spectra devoid of scalar couplings, employ stable isotope labeling to efficiently obtain homo- and/or heteronuclear correlations, as well as those that rely on dipolar cross-correlated interactions for sequential information. Refined computer programs for NMR spin simulation and chemical shift prediction aid the structural elucidation of glycans, which are notorious for their limited spectral dispersion. Hardware developments include cryogenically cold probes and dynamic nuclear polarization techniques, both resulting in enhanced sensitivity as well as ultrahigh field NMR spectrometers with a 1H NMR resonance frequency higher than 1 GHz, thus improving resolution of resonances. Taken together, the developments have made and will in the future make it possible to elucidate carbohydrate structure in great detail, thereby forming the basis for understanding of how glycans interact with other molecules.

Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy

Glycosylation plays a crucial role in various diseases and their etiology. This has led to a clear understanding on the functions of carbohydrates in cell communication, which eventually will result in novel therapeutic approaches for treatment of various disease. Glycomics has now become one among the top ten technologies that will change the future. The direct implication of glycosylation as a hallmark of cancer and for cancer therapy is well established. As in proteomics, where bioinformatics tools have led to revolutionary achievements, bioinformatics resources for glycosylation have improved its practical implication. Bioinformatics tools, algorithms and databases are a mandatory requirement to manage and successfully analyze large amount of glycobiological data generated from glycosylation studies. This review consolidates all the available tools and their applications in glycosylation research. The achievements made through the use of bioinformatics into glycosylation studies are also presented. The importance of glycosylation in cancer diagnosis and therapy is discussed and the gap in the application of widely available glyco-informatic tools for cancer research is highlighted. This review is expected to bring an awakening amongst glyco-informaticians as well as cancer biologists to bridge this gap, to exploit the available glyco-informatic tools for cancer.

GlycomeDB

Over the last two decades, several carbohydrate structure databases have been developed and made publicly available by different research groups around the world. This led to the fragmentation of information about carbohydrate structures into different resources that have no or only weak interaction with each other. GlycomeDB was developed to integrate the carbohydrate structures from different resources by generating a single-indexed catalog of these structures that associates each structure with its reference in the original resources. GlycomeDB facilitates searching for carbohydrate structures in all the integrated resources by eliminating the need to use several different search interfaces and manually integrating the results. References provided by GlycomeDB make it possible to retrieve information that is beyond the scope of GlycomeDB but present in the integrated databases. This chapter illustrates the use of the GlycomeDB search interfaces and web services by way of three example cases.

Bacterial, plant, and fungal carbohydrate structure databases: daily usage

Natural carbohydrates play important roles in living systems and therefore are used as diagnostic and therapeutic targets. The main goal of glycomics is systematization of carbohydrates and elucidation of their role in human health and disease. The amount of information on natural carbohydrates accumulates rapidly, but scientists still lack databases and computer-assisted tools needed for orientation in the glycomic information space. Therefore, freely available, regularly updated, and cross-linked databases are demanded. Bacterial Carbohydrate Structure Database (Bacterial CSDB) was developed for provision of structural, bibliographic, taxonomic, NMR spectroscopic, and other related information on bacterial and archaeal carbohydrate structures. Its main features are (1) coverage above 90%, (2) high data consistence (above 90% of error-free records), and (3) presence of manually verified bibliographic, NMR spectroscopic, and taxonomic annotations. Recently, CSDB has been expanded to cover carbohydrates of plant and fungal origin. The achievement of full coverage in the plant and fungal domains is expected in the future. CSDB is freely available on the Internet as a web service at http://csdb.glycoscience.ru. This chapter aims at showing how to use CSDB in your daily scientific practice.

NMR chemical shift prediction of glycans: application of the computer program CASPER in structural analysis

Carbohydrate molecules have highly complex structures and the constituent monosaccharides and substituents are linked to each other in a large number of ways. NMR spectroscopy can be used to unravel these structures, but the process may be tedious and time-consuming. The computerized approach based on the CASPER program can facilitate rapid structural determination of glycans with little user intervention, which results in the most probable primary structure of the investigated carbohydrate material. Additionally, (1)H and (13)C NMR chemical shifts of a user-defined structure can be predicted, and this tool may thus be employed in many aspects where NMR spectroscopy plays an important part of a study.

Toolboxes for a standardised and systematic study of glycans

Background

Recent progress in method development for characterising the branched structures of complex carbohydrates has now enabled higher throughput technology. Automation of structure analysis then calls for software development since adding meaning to large data collections in reasonable time requires corresponding bioinformatics methods and tools. Current glycobioinformatics resources do cover information on the structure and function of glycans, their interaction with proteins or their enzymatic synthesis. However, this information is partial, scattered and often difficult to find to for non-glycobiologists.

Methods

Following our diagnosis of the causes of the slow development of glycobioinformatics, we review the "objective" difficulties encountered in defining adequate formats for representing complex entities and developing efficient analysis software.

Results

Various solutions already implemented and strategies defined to bridge glycobiology with different fields and integrate the heterogeneous glyco-related information are presented.

Conclusions

Despite the initial stage of our integrative efforts, this paper highlights the rapid expansion of glycomics, the validity of existing resources and the bright future of glycobioinformatics.

A perspective on the primary and three-dimensional structures of carbohydrates

Carbohydrates, in more biologically oriented areas referred to as glycans, constitute one of the four groups of biomolecules. The glycans, often present as glycoproteins or glycolipids, form highly complex structures. In mammals ten monosaccharides are utilized in building glycoconjugates in the form of oligo- (up to about a dozen monomers) and polysaccharides. Subsequent modifications and additions create a large number of different compounds. In bacteria, more than a hundred monosaccharides have been reported to be constituents of lipopolysaccharides, capsular polysaccharides, and exopolysaccharides. Thus, the number of polysaccharide structures possible to create is huge. NMR spectroscopy plays an essential part in elucidating the primary structure, that is, monosaccharide identity and ring size, anomeric configuration, linkage position, and sequence, of the sugar residues. The structural studies may also employ computational approaches for NMR chemical shift predictions (CASPER program). Once the components and sequence of sugar residues have been unraveled, the three-dimensional arrangement of the sugar residues relative to each other (conformation), their flexibility (transitions between and populations of conformational states), together with the dynamics (timescales) should be addressed. To shed light on these aspects we have utilized a combination of experimental liquid state NMR techniques together with molecular dynamics simulations. For the latter a molecular mechanics force field such as our CHARMM-based PARM22/SU01 has been used. The experimental NMR parameters acquired are typically (1)H,(1)H cross-relaxation rates (related to NOEs), (3)JCH and (3)JCCtrans-glycosidic coupling constants and (1)H,(13)C- and (1)H,(1)H-residual dipolar couplings. At a glycosidic linkage two torsion angles ϕ and ψ are defined and for 6-substituted residues also the ω torsion angle is required. Major conformers can be identified for which highly populated states are present. Thus, in many cases a well-defined albeit not rigid structure can be identified. However, on longer timescales, oligosaccharides must be considered as highly flexible molecules since also anti-conformations have been shown to exist with H-C-O-C torsion angles of ∼180°, compared to syn-conformations in which the protons at the carbon atoms forming the glycosidic linkage are in close proximity. The accessible conformational space governs possible interactions with proteins and both minor changes and significant alterations occur for the oligosaccharides in these interaction processes. Transferred NOE NMR experiments give information on the conformation of the glycan ligand when bound to the proteins whereas saturation transfer difference NMR experiments report on the carbohydrate part in contact with the protein. It is anticipated that the subtle differences in conformational preferences for glycan structures facilitate a means to regulate biochemical processes in different environments. Further developments in the analysis of glycan structure and in particular its role in interactions with other molecules, will lead to clarifications of the importance of structure in biochemical regulation processes essential to health and disease.

1D 13C-NMR data as molecular descriptors in spectra--structure relationship analysis of oligosaccharides

Spectra-structure relationships were investigated for estimating the anomeric configuration, residues and type of linkages of linear and branched trisaccharides using ¹³C-NMR chemical shifts. For this study, 119 pyranosyl trisaccharides were used that are trimers of the α or β anomers of D-glucose, D-galactose, D-mannose, L-fucose or L-rhamnose residues bonded through α or β glycosidic linkages of types 1→2, 1→3, 1→4, or 1→6, as well as methoxylated and/or N-acetylated amino trisaccharides. Machine learning experiments were performed for: (1) classification of the anomeric configuration of the first unit, second unit and reducing end; (2) classification of the type of first and second linkages; (3) classification of the three residues: reducing end, middle and first residue; and (4) classification of the chain type. Our previously model for predicting the structure of disaccharides was incorporated in this new model with an improvement of the predictive power. The best results were achieved using Random Forests with 204 di- and trisaccharides for the training set—it could correctly classify 83%, 90%, 88%, 85%, 85%, 75%, 79%, 68% and 94% of the test set (69 compounds) for the nine tasks, respectively, on the basis of unassigned chemical shifts.

Sialome analysis of the cephalochordate Branchiostoma belcheri, a key organism for vertebrate evolution

Sialic acid, a common terminal substitution of glycoconjugates, has been so far consistently identified in all vertebrates as well as in a growing number of bacterial species. It is assumed to be widely distributed among animal species of the deuterostome phylum, based on its identification in few echinoderm and all vertebrate species. However, whole sections of deuterostome, especially those intermediate species between invertebrates and vertebrates including cephalochordates, urochordates and hemichordates, are still unexplored in term of sialylation capacities. The discovery of functional sialic acid machinery in some of these species may shed new light onto the evolution of glycosylation capacities in deuterostome lineage. In a first approach, we investigated the sialylation pattern of a cephalocordate species, Branchiostoma belcheri, which occupies a strategic phylogenetic position to understand the transition of invertebrates toward vertebrates. Structural analysis of B. belcheri glycoconjugates established that this organism synthesizes large quantities of various sialic acids, some of which present rare or novel structures such as methylated sialic acids. These sialic acids were shown to be mainly associated with mono- and disialylated core 1-type O-glycans. Moreover, screening of the animal organs revealed the existence of exquisite tissue specificity in the distribution of sialic acids. Description of sialylation profiles was then correlated with the expression patterns of key enzymes involved in the biosynthesis of major forms of sialic acids, which provides the first complete overview of the sialylation patterns in cephalochordates.

GlycomeDB--a unified database for carbohydrate structures

GlycomeDB integrates the structural and taxonomic data of all major public carbohydrate databases, as well as carbohydrates contained in the Protein Data Bank, which renders the database currently the most comprehensive and unified resource for carbohydrate structures worldwide. GlycomeDB retains the links to the original databases and is updated at weekly intervals with the newest structures available from the source databases. The complete database can be downloaded freely or accessed through a Web-interface (www.glycome-db.org) that provides flexible and powerful search functionalities.

Bioinformatics and molecular modeling in glycobiology

The field of glycobiology is concerned with the study of the structure, properties, and biological functions of the family of biomolecules called carbohydrates. Bioinformatics for glycobiology is a particularly challenging field, because carbohydrates exhibit a high structural diversity and their chains are often branched. Significant improvements in experimental analytical methods over recent years have led to a tremendous increase in the amount of carbohydrate structure data generated. Consequently, the availability of databases and tools to store, retrieve and analyze these data in an efficient way is of fundamental importance to progress in glycobiology. In this review, the various graphical representations and sequence formats of carbohydrates are introduced, and an overview of newly developed databases, the latest developments in sequence alignment and data mining, and tools to support experimental glycan analysis are presented. Finally, the field of structural glycoinformatics and molecular modeling of carbohydrates, glycoproteins, and protein-carbohydrate interaction are reviewed.