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Lipopolysaccharide (LPS) of a new Pantoea agglomerans strain P324 was studied by chemical and biological methods. Mild acid hydrolysis of the LPS resulted in lipid A and O-specific polysaccharide (OPS) fractions. Studies by negative-ion mode HR ESI mass spectrometry showed heterogeneity of the lipid A, the major form being a hexa-acylated derivative containing biphosphorylated GlcN disaccharide, four 14:0 (3-OH), one 18:0, and one 12:0 residues. The following structure of the OPS was elucidated by chemical, NMR and computational methods: →3)-α-L-Rhap-(1→4)-α-D-Glcp-(1→. The P. agglomerans P324 LPS showed medium level of toxic and pyrogenic activities. Structural components of the LPS exhibited varying effects on the activity of Bacillus peptidases. Thus, the OPS and lipid A played a significant role in the hydrolysis of fibrin by Bacillus proteases but did not affect the activity of protease 2 of B. thuringiensis IMV B-7465 and protease 1 of B. thuringiensis IMV B-7324. Hydrolysis of elastin was intensified by core oligosaccharide and lipid A. Hydrolysis of collagen in the presence of the isolated fractions was accompanied by the inhibition of activity as compared to the native LPS.

The CSDB Linear notation for carbohydrate sequences utilized in the Carbohydrate Structure Database (CSDB) has been improved to meet modern requirements in glycoinformatics. The new features include: the possibility to combine repeating and nonrepeating moieties in one structure; support of carbon-carbon bonds; and usage of SMILES encodings for unambiguous chemical description of glycan structures, including aglycons and atypical components. The new capabilities of CSDB Linear, together with the older ones, allow efficient detection of errors in CSDB and, at the same time, ensure the absence of informatic problems common for human-readable notations. The CSDB Linear implementation provides translation to other carbohydrate notations and multiple procedures for content error checking.

Mild acid degradation of the lipopolysaccharide of Yersinia kristensenii C-134 afforded a glycerol teichoic acid-like O-polysaccharide, which was studied by sugar analysis, O-deacetylation and dephosphorylation along with 1D and 2D NMR spectroscopy. The following structure of the O-polysaccharide was established: This structure is related to those of other Y. kristensenii O-polysaccharides studied earlier. The O-antigen gene cluster of Y. kristensenii С-134 was analyzed and found to be consistent with the O-polysaccharide structure established.

Lipopolysaccharide (LPS) was extracted from dry bacterial cells of plant-growth-promoting bacterium Azospirillum brasilense SR8 (IBPPM 5). The O-specific polysaccharide (OPS) was obtained by mild acid hydrolysis of the lipopolysaccharide and studied by sugar analysis, 1H and 13C NMR spectroscopy, including 1H,1H COSY, TOCSY, ROESY, and 1H,13C HSQC and HMBC experiments, computational NMR-based structure analysis, and Smith degradation. The OPS was shown to contain two types of repeating units of the following structure: Both OPS structures are present in A. brasilense 54, from which structure 1 has been reported earlier (Fedonenko et al., 2011), whereas to our knowledge structure 2 has not been hitherto found in bacterial saccharides. Treatment of wheat seedling roots with LPS of A. brasilense SR8 increased the number of root hair deformations as compared to seedlings grown without LPS, but had no effect on adsorption of the bacteria to the root surface. A. brasilense SR8 was able to utilize LPS of several structurally related Azospirillum strains.

We report the accomplishment of the first stage of the development of a novel manually curated database on glycosyltransferase (GT) activities, CSDB_GT. CSDB_GT (http://csdb.glycoscience.ru/gt.html) has been supplemented with GT activities from Saccharomyces cerevisiae. Now it provides the close-to-complete coverage on experimentally confirmed GTs from the three most studied model organisms from the three kingdoms: plantae (Arabidopsis thaliana, ca. 930 activities), bacteria (Escherichia coli, ca. 820 activities) and fungi (S. cerevisiae, ca. 270 activities).

Analysis and systematization of accumulated data on carbohydrate structural diversity is a subject of great interest for structural glycobiology. Despite being a challenging task, development of computational methods for efficient treatment and management of spatial (3D) structural features of carbohydrates breaks new ground in modern glycoscience. This review is dedicated to approaches of chemo- and glyco-informatics towards 3D structural data generation, deposition and processing in regard to carbohydrates and their derivatives. Databases, molecular modeling and experimental data validation services, and structure visualization facilities developed for last five years are reviewed.

Six empirical force fields were tested for applicability to calculations for automated carbohydrate database filling. They were probed on eleven disaccharide molecules containing representative structural features from widespread classes of carbohydrates. The accuracy of each method was queried by predictions of nuclear Overhauser effects (NOEs) from conformational ensembles obtained from 50 to 100 ns molecular dynamics (MD) trajectories and their comparison to the published experimental data. Using various ranking schemes, it was concluded that explicit solvent MM3 MD yielded non-inferior NOE accuracy with newer GLYCAM-06, and ultimately PBE0-D3/def2-TZVP (Triple-Zeta Valence Polarized) Density Functional Theory (DFT) simulations. For seven of eleven molecules, at least one empirical force field with explicit solvent outperformed DFT in NOE prediction. The aggregate of characteristics (accuracy, speed, and compatibility) made MM3 dynamics with explicit solvent at 300 K the most favorable method for bulk generation of disaccharide conformation maps for massive database filling.

Motivation Carbohydrates play crucial roles in various biochemical processes and are useful for developing drugs and vaccines. However, in case of carbohydrates, the primary structure elucidation is usually a sophisticated task. Therefore, they remain the least structurally characterized class of biomolecules, and it hampers the progress in glycochemistry and glycobiology. Creating a usable instrument designed to assist researchers in natural carbohydrate structure determination would advance glycochemistry in biomedical and pharmaceutical applications. Results We present GRASS (Generation, Ranking and Assignment of Saccharide Structures), a novel method for semi-automated elucidation of carbohydrate and derivative structures which uses unassigned 13C NMR spectra and information obtained from chromatography, optical, chemical and other methods. This approach is based on new methods of carbohydrate NMR simulation recently reported as the most accurate. It combines a broad diversity of supported structural features, high accuracy and performance. Availability and implementation GRASS is implemented in a free web tool available at http://csdb.glycoscience.ru/grass.html. Supplementary information Supplementary data are available at Bioinformatics online.

In 2017, we reported a new database on glycosyltransferase (GT) activities, CSDB_GT (http://csdb.glycoscience.ru/gt.html), which was built at the platform of the Carbohydrate Structure Database (CSDB, http://csdb.glycoscience.ru/database/index.html) and contained data on experimentally confirmed GT activities from Arabidopsis thaliana. All entries in CSDB_GT are curated manually upon the analysis of scientific publications, and the key features of the database are accurate structural, genetic, protein and bibliographic references and close-to-complete coverage on experimentally proven GT activities in selected species. In 2018, CSDB_GT was supplemented with data on Escherichia coli GT activities. Now it contains ca. 800 entries on E. coli GTs, including ca. 550 entries with functions predicted in silico. This information was extracted from research papers published up to the year 2018 or was obtained by the authors' efforts on GT annotation. Thus, CSDB_GT was extended to provide not only experimentally confirmed GT activities, but also those predicted on the basis of gene or protein sequence homology that could carry valuable information. Accordingly, a new confirmation status-predicted in silico-was introduced. In addition, the coverage on A. thaliana was extended up to ca. 900 entries, all of which had experimental confirmation. Currently, CSDB_GT provides close-to-complete coverage on experimentally confirmed GT activities from A. thaliana and E. coli presented up to the year 2018.

The polysaccharide PGO containing 76 % of uronic acids, was obtained from peels and membranes of Punica granatum fruits by extraction to the aqueous solution of (NH4)2C2O4. The chemical structure of PGO was characterized by enzymatic and partial acid hydrolyses, Smith degradation and 1D/2D NMR spectroscopy. It has been found that PGO consisted mainly of highly methyl-esterified and lowly acetylated pectin. Backbone of the macromolecule was represented by 1,4-α-D-GalpA, 1,4-α-D-GalpA(OMe), 1,4-α-D-GalpA(OAc). The branched region PGO contained minor segments of partially acetylated rhamnogalacturonan-I (RG-I). RG-I side chains were comprised of highly branched 1,5-α-l-arabinan and segments of arabinogalactan type I. In addition to pectins, PGO contained the glucuronoxylans and xyloglucans, indicating a close interaction of these polysaccharides with each other in the cell wall. It was concluded that P. granatum fruit could be a promising source of pectic polysaccharides.

Paenibacillus spp. exopolysaccharides (EPSs) have become a growing interest recently as a source of biomaterials. In this study, we characterized Paenibacillus polymyxa 2020 strain, which produces a large quantity of EPS (up to 68 g/L),and was isolated from wasp honeycombs. Here we report its complete genome sequence and full methylome analysis detected by Pacific Biosciences SMRT sequencing. Moreover, bioinformatic analysis identified a putative levan synthetic operon. SacC and sacB genes have been cloned and their products identified as glycoside hydrolase and levansucrase respectively. The Fourier transform infrared (FT-IR) and nuclear magnetic resonance (NMR) spectra demonstrated that the EPS is a linear β-(2→6)-linked fructan (levan). The structure and properties of levan polymer produced from sucrose and molasses were analyzed by FT-IR, NMR, scanning electron microscopy (SEM), high performance size exclusion chromatography (HPSEC), thermogravimetric analysis (TGA), cytotoxicity tests and showed low toxicity and high biocompatibility. Thus, P. polymyxa 2020 could be an exceptional cost-effective source for the industrial production of levan-type EPSs and to obtain functional biomaterials based on it for a broad range of applications, including bioengineering.

SugarSketcher is an intuitive and fast JavaScript interface module for online drawing of glycan structures in the popular Symbol Nomenclature for Glycans (SNFG) notation and exporting them to various commonly used formats encoding carbohydrate sequences (e.g., GlycoCT) or quality images (e.g., svg). It does not require a backend server or any specific browser plugins and can be integrated in any web glycoinformatics project. SugarSketcher allows drawing glycans both for glycobiologists and non-expert users. The “quick mode„ allows a newcomer to build up a glycan structure having only a limited knowledge in carbohydrate chemistry. The “normal mode„ integrates advanced options which enable glycobiologists to tailor complex carbohydrate structures. The source code is freely available on GitHub and glycoinformaticians are encouraged to participate in the development process while users are invited to test a prototype available on the ExPASY web-site and send feedback.

Glycoinformatics is an actively developing scientific discipline, which provides scientists with the means of access to the data on natural glycans and with various tools of their processing. However, the informatization of glycomics has a long way to go before catching up with genomics and proteomics. In this Viewpoint, we review the current situation in glycoinformatics and discuss its achievements and shortcomings, emphasizing the major drawbacks: the lack of recognized standards, protocols, data indices and tools, and the informational isolation of the existing projects. We reiterate possible solutions of the persistent issues and describe our vision of an ideal glycoinformatics project.

A new theranostic agent of bacteriochlorin family has been synthesized by the reaction between 131-(2-aminoethylcarbamoyl)bacteriochlorin e and N,N’-di(carboxypentyl)dicarboindocyanine dye. The structure of the synthesized conjugate was confirmed by nuclear-magnetic resonance spectroscopy. In the conjugate, the efficient energy transfer from the dye to bacteriochlorin was observed. The yield of this process, which was shown to be ∼94%, allowed the dye still retain its ability to fluoresce. Accordingly, the fluorescence spectrum contained two major bands corresponding to fluorescence of bacteriochlorin (756 nm) and conjugated dye (672 nm). It was observed that the conjugate efficiently photosensitizes formation of singlet oxygen and photodynamic oxygenation of an organic compound. The data suggest that the obtained synthetic conjugate is promising for application in both fluorescence diagnostics and photodynamic treatment of tumors.

The Carbohydrate Structure Databases (CSDBs, http://csdb.glycoscience.ru) store structural, bibliographic, taxonomic, NMR spectroscopic, and other data on natural carbohydrates and their derivatives published in the scientific literature. The CSDB project was launched in 2005 for bacterial saccharides (as BCSDB). Currently, it includes two parts, the Bacterial CSDB and the Plant&Fungal CSDB. In March 2015, these databases were merged to the single CSDB. The combined CSDB includes information on bacterial and archaeal glycans and derivatives (the coverage is close to complete), as well as on plant and fungal glycans and glycoconjugates (almost all structures published up to 1998). CSDB is regularly updated via manual expert annotation of original publications. Both newly annotated data and data imported from other databases are manually curated. The CSDB data are exportable in a number of modern formats, such as GlycoRDF. CSDB provides additional services for simulation of (1)H, (13)C and 2D NMR spectra of saccharides, NMR-based structure prediction, glycan-based taxon clustering and other.

The improved Carbohydrate Structure Generalization Scheme has been developed for the simulation of (13)C and (1)H NMR spectra of oligo- and polysaccharides and their derivatives, including those containing noncarbohydrate constituents found in natural glycans. Besides adding the (1)H NMR calculations, we improved the accuracy and performance of prediction and optimized the mathematical model of the precision estimation. This new approach outperformed other methods of chemical shift simulation, including database-driven, neural net-based, and purely empirical methods and quantum-mechanical calculations at high theory levels. It can process structures with rarely occurring and noncarbohydrate constituents unsupported by the other methods. The algorithm is transparent to users and allows tracking used reference NMR data to original publications. It was implemented in the Glycan-Optimized Dual Empirical Spectrum Simulation (GODESS) web service, which is freely available at the platform of the Carbohydrate Structure Database (CSDB) project ( http://csdb.glycoscience.ru).

Motivation Glycans and glycoconjugates are usually recorded in dedicated databases in residue-based notations. Only a few of them can be converted into chemical (atom-based) formats highly demanded in conformational and biochemical studies. In this work, we present a tool for translation from a residue-based glycan notation to SMILES. Results The REStLESS algorithm for translation from the CSDB Linear notation to SMILES was developed. REStLESS stands for ResiduEs as Smiles and LinkagEs as SmartS, where SMARTS reaction expressions are used to merge pre-encoded residues into a molecule. The implementation supports virtually all structural features reported in natural carbohydrates and glycoconjugates. The translator is equipped with a mechanism for conversion of SMILES strings into optimized atomic coordinates which can be used as starting geometries for various computational tasks. Availability and implementation REStLESS is integrated in the Carbohydrate Structure Database (CSDB) and is freely available on the web (http://csdb.glycoscience.ru/csdb2atoms.html). Supplementary information Supplementary data are available at Bioinformatics online.

Highly branched arabinan-rich pectic polysaccharides, containing 84% of arabinose, was extracted from wood greenery of Abies sibirica L. The structure of arabinan was studied by the 1D and 2D NMR spectroscopy. The macromolecule backbone was represented mainly by RG-I (molar ratio GalA:Rha ∼ 1.3:1) patterns with high degree of rhamnose branching. Side chains were comprised of 1,5-linked α-L-Araf residues (the major part of polymer mass), 1,3,5-di-O- and 1,2,3,5-tri-O-linked α-L-Araf residues, confirming the presence of highly branched 1,5-α-L-arabinan. Although most L-Araf were in α-anomeric form, minor terminal β-L-Araf-(1 →... was detected. 1,4-β-D-linked Galp residues found in the side chains account for minor AG-I or 1,4-galactan, as compared to arabinan. A tentative structure was proposed. Polysaccharides obtained from Siberian fir greenery were screened for biological activity. Galacturonan had a strongest stimulating effect on germination and growth rate of seeds, germs and roots of Triticum aestivum, Avena sativa, and Secale cereale.

Carbohydrates play an immense role in different aspects of life. NMR spectroscopy is the most powerful tool for investigation of these compounds. Nowadays, progress in computational procedures has opened up novel opportunities giving an impulse to the development of new instruments intended to make the research simpler and more efficient. In this paper, we present a new approach for simulating (13)C NMR chemical shifts of carbohydrates. The approach is suitable for any atomic observables, which could be stored in a database. The method is based on sequential generalization of the chemical surroundings of the atom under prediction and heuristic averaging of database data. Unlike existing applications, the generalization scheme is tuned for carbohydrates, including those containing phosphates, amino acids, alditols, and other non-carbohydrate constituents. It was implemented in the Glycan-Optimized Dual Empirical Spectrum Simulation (GODESS) software, which is freely available on the Internet. In the field of carbohydrates, our approach was shown to outperform all other existing methods of NMR spectrum prediction (including quantum-mechanical calculations) in accuracy. Only this approach supports NMR spectrum simulation for a number of structural features in polymeric structures.

The main goals of glycoscience are elucidation of carbohydrate features responsible for cellular processes, pathogenicity of microorganisms, and immunological properties of higher organisms, as well as application of glycans as diagnostic and therapeutic agents and classification of natural glycans and glycoconjugates. These goals are hardly achievable without freely available, regularly updated, and cross-linked databases, which provide data accumulated in glycoscience and allow tracking of their quality.

Glycosyltransferases (GTs) are carbohydrate-active enzymes (CAZy) involved in the synthesis of natural glycan structures. The application of CAZy is highly demanded in biotechnology and pharmaceutics. However, it is being hindered by the lack of high-quality and comprehensive repositories of the research data accumulated so far. In this paper, we describe a new curated Carbohydrate Structure Glycosyltransferase Database (CSDB_GT). Currently, CSDB_GT provides ca. 780 activities exhibited by GTs, as well as several other CAZy, found in Arabidopsis thaliana and described in ca. 180 publications. It covers most published data on A. thaliana GTs with evidenced functions. CSDB_GT is linked to the Carbohydrate Structure Database (CSDB), which stores data on archaeal, bacterial, fungal and plant glycans. The CSDB_GT data are supported by experimental evidences and can be traced to original publications. CSDB_GT is freely available at http://csdb.glycoscience.ru/gt.html.

Lipopolysaccharides of four strains of Edwardsiella tarda were degraded by mild acid hydrolysis, and the released O-polysaccharides were isolated by GPC and studied by sugar and methylation analyses along with (1)H and (13)C NMR spectroscopy, including 2D (1)H, (1)H COSY, TOCSY, ROESY, (1)H, (13)C HMBC, HSQC and HSQC-TOCSY experiments. The O-polysaccharide from E. tarda PCM 1153 was found to contain D-GalA, D-GlcNAc, D-Gal and 2-amino-1,3-propanediol (GroN). In the tetrasaccharide repeating unit, GroN is amide-linked to one of the GalA residues, and Gal is non-stoichiometrically 2- or 3-O-acetylated (~45% at each position): [structure: see text]. Three other E. tarda strains examined (PCM 1145, PCM 1151 and PCM 1158) share the following O-polysaccharide structure: [structure: see text] where Abe indicates 3,6-dideoxy-D-xylo-hexose (abequose). This structure resembles those of Citrobacter freundii O22 (PCM 1555) and Salmonella enterica O4. In accordance with the structural data, SDS-PAGE and immunoblotting of the lipopolysaccharides with anti-C. freundii O22 serum demonstrated that the O-antigens of the three E. tarda strains are serologically identical to each other and to the O-antigens of C. freundii O22 and S. enterica O4.

Bacterial carbohydrate structure database (BCSDB) is an open-access project that collects primary publication data on carbohydrate structures originating from bacteria, their biological properties, bibliographic and taxonomic annotations, NMR spectra, etc. Almost complete coverage and outstanding data consistency are achieved. BCSDB version 3 and the principles lying behind it, including glycan description language, are reported.

Glucose-, galactose- and lactose-containing photosensitizers based on derivatives of chlorophyll a and bacteriochlorophyll a were synthesized with the use of [3+2] cycloaddition between sugar azides and triple bond derivatives of chlorins and bacteriochlorins. Unlike bacteriochlorin cycloimide, chlorin was detected to form a Cu -complex during the click reaction. An approach to the synthesis of metal-free glycosylated chlorins was developed with the use of "protection" by Zn 2+ cation and subsequent demetalation. It is based on the action of alkynyl chlorin e6 derivative Zn -complex, which is resistant to the substitution by copper cation. Bacteriochlorin p cycloimide conjugate with per-acetylated β-D-lactose was obtained and shown to become water-soluble after unblocking of the lactose hydroxy functions. NMR studies allowed for the elucidation of structure, tautomeric form and conformation of the obtained compounds.

Carbohydrates are biological blocks participating in diverse and crucial processes both at cellular and organism levels. They protect individual cells, establish intracellular interactions, take part in the immune reaction and participate in many other processes. Glycosylation is considered as one of the most important modifications of proteins and other biologically active molecules. Still, the data on the enzymatic machinery involved in the carbohydrate synthesis and processing are scattered, and the advance on its study is hindered by the vast bulk of accumulated genetic information not supported by any experimental evidences for functions of proteins that are encoded by these genes. In this article, we present novel instruments for statistical analysis of glycomes in taxa. These tools may be helpful for investigating carbohydrate-related enzymatic activities in various groups of organisms and for comparison of their carbohydrate content. The instruments are developed on the Carbohydrate Structure Database (CSDB) platform and are available freely on the CSDB web-site at http://csdb.glycoscience.ru. Database URL: http://csdb.glycoscience.ru

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.

The synthesis of chlorin-fullerene conjugate, in which fullerene C60 is attached to chlorin p6 13,15-N-hydroxycycloimide through benzoylisoxazoline spacer moiety was carried out. The conjugate was obtained by the convenient method of 1,3-dipolar cycloaddition to the double bond of the fullerene nitrile oxide, produced from hydroxyiminomethyl substituted chlorin and diacetoxyiodobenzene, at mild conditions. Chlorin p6 N-hydroxycycloimide was condensed with 4-carboxybenzaldehyde in the presence of 2-ethoxy-1-ethoxycarbonyl-1,2-dihydroquinoline (EEDQ) and the formylcontaining chlorin obtained was converted into corresponding hydroxyiminomethyl derivative. The latter reacted with diacetoxyiodobenzene and C60 in toluene at room temperature to form chlorin-fullerene with 53 % yield.

Kiyoko FAoki-Kinoshita1, Hiromichi Sawaki2, Hyun Joo An3, Matthew Campbell4, Qichen Cao5, Richard Cummings6, Daniel K Hsu7, Masaki Kato8, Toshisuke Kawasaki9, Kay-Hooi Khoo7, Jaehan Kim3, Daniel Kolarich10, Xianyu Li5, Mingqi Liu11, Masaaki Matsubara12, Shujiro Okuda9,13, Nicolle H Packer4, Rene Ranzinger14, Huali Shen11, Toshihide Shikanai2, Daisuke Shinmachi2, Philip Toukach15, Issaku Yamada12, Yoshiki Yamaguchi8, Pengyuan Yang11, Wantao Ying5, Jong Shin Yoo16, Yan Zhang17, Yang Zhang11, and Hisashi Narimatsu2 Soka University, Tokyo, Japan; National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan; Chungnam National University, Daejeon, Korea; Macquarie University, Sydney, NSW, Australia; Beijing Institute of Radiation Medicine, Beijing, China; Emory University, Atlanta, GA, USA; Academia Sinica, Taipei, Taiwan; RIKEN Global Research Cluster, Wako-shi, Saitama, Japan; Ritsumeikan University, Kusatsu, Shiga, Japan; Max Planck Institute of Colloids and Interfaces, Potsdam, Germany; Fudan University, Shanghai, China; The Noguchi Institute, Tokyo, Japan; Niigata University, Niigata, Japan; The University of Georgia, Athens, GA, USA; Zelinsky Institute of Organic Chemistry, Moscow, Russia; Korea Basic Science Institute, Daejeon, Korea; and Shanghai Jiao Tong University, Shanghai, China

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.

The O-specific polysaccharide of the lipopolysaccharide of Proteus penneri strain 103 was studied using 1H and 13C NMR spectroscopy, including 2D COSY, TOCSY, NOESY, H-detected 1H,13C HMQC, 1H, 31P HMQC, and HMBC experiments. It was found that the polysaccharide is built up of oligosaccharide-ribitol phosphate repeating units and thus resembles ribitol teichoic acids of Gram-positive bacteria. The following structure of the polysaccharide was established: Download : Download full-size image where Etn and Rib-ol are ethanolamine and ribitol, respectively. This structure is unique among the known structures of Proteus O-antigens and, therefore, we propose classification of the strain studied into a new Proteus serogroup, O73. The molecular basis for cross-reactivity between O-antiserum against P. penneri 103 and O-antigens of P. mirabilis O33 and D52 is discussed.

Motivation: Over the last decades several glycomics-based bioinformatics resources and databases have been created and released to the public. Unfortunately, there is no common standard in the representation of the stored information or a common machine-readable interface allowing bioinformatics groups to easily extract and cross-reference the stored information. Results: An international group of bioinformatics experts in the field of glycomics have worked together to create a standard Resource Description Framework (RDF) representation for glycomics data, focused on glycan sequences and related biological source, publications and experimental data. This RDF standard is defined by the GlycoRDF ontology and will be used by database providers to generate common machine-readable exports of the data stored in their databases. Availability and implementation: The ontology, supporting documentation and source code used by database providers to generate standardized RDF are available online (http://www.glycoinfo.org/GlycoRDF/). Contact: rene@ccrc.uga.edu or kkiyoko@soka.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online.

Carbohydrate Structure Database (CSDB) is a regularly updated database on structures, taxonomy, bibliography, NMR spectra, and other data published for prokaryotic, plant, and fungal carbohydrates and their derivatives, including those containing noncarbohydrate moieties. Key features of this project are high data quality and aiming at full coverage. CSDB has multiple services, such as NMR prediction, NMR-based structure ranking, and tools for statistical analysis. It is freely available at http://csdb.glycoscience.ru.

The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed. ispartof: Journal of Biomedical Semantics vol:5 issue:5 pages:1-13 ispartof: location:England status: published