Publications by authors named "Philip V Toukach"

Carbohydrate structures in the Carbohydrate Structure Database have been referenced to glycoepitopes from the Immune Epitope Database allowing users to explore the glycan structures and contained epitopes. Starting with an epitope, one can figure out the glycans from other organisms that share the same structural determinant, and retrieve the associated taxonomical, medical, and other data. This database mapping demonstrates the advantages of the integration of immunological and glycomic databases.

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In this paper, we present the results of a systematic statistical analysis of the fungal glycome in comparison with the prokaryotic and protistal glycomes as described in the scientific literature and presented in the Carbohydrate Structure Database (CSDB). The monomeric and dimeric compositions of glycans, their non-carbohydrate modifications, glycosidic linkages, sizes of structures, branching degree and net charge are assessed. The obtained information can help elucidating carbohydrate molecular markers for various fungal classes which, in its turn, can be demanded for the development of diagnostic tools and carbohydrate-based vaccines against pathogenic fungi.

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The Carbohydrate Structure Database (CSDB, http://csdb.glycoscience.ru/ ) is a free curated repository storing various data on glycans of bacterial, fungal and plant origins.

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Population analysis in terms of glycosidic torsion angles is frequently used to reveal preferred conformers of glycans. However, due to high structural diversity and flexibility of carbohydrates, conformational characterization of complex glycans can be a challenging task. Herein, we present a conformation module of oligosaccharide fragments occurring in natural glycan structures developed on the platform of the Carbohydrate Structure Database.

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This article describes features, usage, and application of an CSDB/SNFG Structure Editor, a new online tool for quick and intuitive input of carbohydrate and derivative structures using Symbol Nomenclature for Glycans (SNFG). The Editor is built on a platform of the Carbohydrate Structure Database (CSDB) and relies on its online services via the dedicated web-API. The Editor allows building of oligo- and polymeric glycan structures and supports most features of natural glycans, such as underdetermined structures, alternative branches, repeating subunits, SMILES specification of atypical monomers, and others.

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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.

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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.

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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.

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The polysaccharide PG containing 76 % of uronic acids, was obtained from peels and membranes of Punica granatum fruits by extraction to the aqueous solution of (NH)CO. The chemical structure of PG was characterized by enzymatic and partial acid hydrolyses, Smith degradation and 1D/2D NMR spectroscopy. It has been found that PG consisted mainly of highly methyl-esterified and lowly acetylated pectin.

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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.

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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.

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In 2017, we reported a new database on glycosyltransferase (GT) activities, CSDB_GT (http://csdb.glycoscience.ru/gt.

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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.

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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.

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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.

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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.

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Glycan Optimized Dual Empirical Spectrum Simulation (GODESS) is a web service, which has been recently shown to be one of the most accurate tools for simulation of (1)H and (13)C 1D NMR spectra of natural carbohydrates and their derivatives. The new version of GODESS supports visualization of the simulated (1)H and (13)C chemical shifts in the form of most 2D spin correlation spectra commonly used in carbohydrate research, such as (1)H-(1)H TOCSY, COSY/COSY-DQF/COSY-RCT, and (1)H-(13)C edHSQC, HSQC-COSY, HSQC-TOCSY, and HMBC. Peaks in the simulated 2D spectra are color-coded and labeled according to the signal assignment and can be exported in JCAMP-DX format.

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Article Synopsis
  • The Carbohydrate Structure Databases (CSDBs) are specialized databases that compile extensive information on natural carbohydrates, including their structures and bibliographic details, launched in 2005 specifically for bacterial saccharides.
  • In 2015, the Bacterial CSDB and Plant&Fungal CSDB were merged into a single database that covers bacterial, archaeal, plant, and fungal glycans and glycoconjugates, providing nearly complete information up to 1998.
  • CSDB is regularly updated through manual expert annotation, offers data in various formats, and provides tools for NMR spectrum simulation and glycan-based data analysis.
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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.

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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.

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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.

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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.

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Fractions containing arabinogalactan proteins (AGPs) and pectic polysaccharides were isolated from above-ground parts of Heracleum sosnowskyi. Major units of their structure were elucidated using ion-exchange chromatography, gel chromatography, and NMR spectroscopy. The carbohydrate backbone of the polysaccharides consisted of 1,3-β-D-galactopyranosyl residues, whereas side chains of the branched region consisted of the residues of 1,6-β-galactopyranose, 1,5-α-L-arabinofuranose, 1,4-β-D-glucuronic acid, and 1,6-β-D-glucopyranose.

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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).

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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.

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