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1.
Nucleic Acids Res ; 39(Database issue): D373-6, 2011 Jan.
Article in English | MEDLINE | ID: mdl-21045056

ABSTRACT

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.


Subject(s)
Carbohydrates/chemistry , Databases, Factual , Carbohydrate Sequence , Carbohydrates/classification , Glycomics , Systems Integration
2.
Glycobiology ; 19(12): 1563-7, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19759275

ABSTRACT

Despite ongoing harmonization efforts, the major carbohydrate sequence databases following the first initiative in this field, CarbBank, are still isolated islands, with mechanisms for automatic structure exchange and comparison largely missing. This unfavorable situation has been overcome with a systematic data integration effort, resulting in the GlycomeDB, a meta-database for public carbohydrate sequences. It contains at present 35,056 unique structures in GlycoCT encoding, referencing more than 100,000 external records from 1845 different taxonomic sources. We have created a user-friendly, web-based graphical interface which allows taxonomic and structural data to be entered and searched for. The structural search possibilities include substructure search, similarity search, and maximum common substructure. A novel search refinement mechanism allows the assembly of complex queries. With GlycomeDB (www.glycome-db.org), it is now possible to use a single portal to access all digitally encoded, public structural data in glycomics and to perform complex queries with the help of a web-based user interface.


Subject(s)
Carbohydrate Sequence , Databases, Factual , Glycomics/methods , Algorithms , Animals , Carbohydrate Sequence/physiology , Computational Biology/methods , Humans , Internet , Libraries, Digital , Software Design , User-Computer Interface
3.
BMC Bioinformatics ; 9: 384, 2008 Sep 19.
Article in English | MEDLINE | ID: mdl-18803830

ABSTRACT

BACKGROUND: Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carbohydrate Structure Database (CCSD or CarbBank) ceased in 1997, and since then several initiatives have developed independent databases with partially overlapping foci. For each database, different encoding schemes for residues and sequence topology were designed. Therefore, it is virtually impossible to obtain an overview of all deposited structures or to compare the contents of the various databases. RESULTS: We have implemented procedures which download the structures contained in the seven major databases, e.g. GLYCOSCIENCES.de, the Consortium for Functional Glycomics (CFG), the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Bacterial Carbohydrate Structure Database (BCSDB). We have created a new database called GlycomeDB, containing all structures, their taxonomic annotations and references (IDs) for the original databases. More than 100000 datasets were imported, resulting in more than 33000 unique sequences now encoded in GlycomeDB using the universal format GlycoCT. Inconsistencies were found in all public databases, which were discussed and corrected in multiple feedback rounds with the responsible curators. CONCLUSION: GlycomeDB is a new, publicly available database for carbohydrate sequences with a unified, all-encompassing structure encoding format and NCBI taxonomic referencing. The database is updated weekly and can be downloaded free of charge. The JAVA application GlycoUpdateDB is also available for establishing and updating a local installation of GlycomeDB. With the advent of GlycomeDB, the distributed islands of knowledge in glycomics are now bridged to form a single resource.


Subject(s)
Carbohydrate Metabolism/physiology , Carbohydrate Sequence , Carbohydrates/chemistry , Database Management Systems , Databases, Factual , Information Storage and Retrieval/methods , User-Computer Interface , Carbohydrates/classification , Molecular Sequence Data , Systems Integration
4.
BMC Struct Biol ; 8: 35, 2008 Aug 11.
Article in English | MEDLINE | ID: mdl-18694500

ABSTRACT

BACKGROUND: There are considerable differences between bacterial and mammalian glycans. In contrast to most eukaryotic carbohydrates, bacterial glycans are often composed of repeating units with diverse functions ranging from structural reinforcement to adhesion, colonization and camouflage. Since bacterial glycans are typically displayed at the cell surface, they can interact with the environment and, therefore, have significant biomedical importance. RESULTS: The sequence characteristics of glycans (monosaccharide composition, modifications, and linkage patterns) for the higher bacterial taxonomic classes have been examined and compared with the data for mammals, with both similarities and unique features becoming evident. Compared to mammalian glycans, the bacterial glycans deposited in the current databases have a more than ten-fold greater diversity at the monosaccharide level, and the disaccharide pattern space is approximately nine times larger. Specific bacterial subclasses exhibit characteristic glycans which can be distinguished on the basis of distinctive structural features or sequence properties. CONCLUSION: For the first time a systematic database analysis of the bacterial glycome has been performed. This study summarizes the current knowledge of bacterial glycan architecture and diversity and reveals putative targets for the rational design and development of therapeutic intervention strategies by comparing bacterial and mammalian glycans.


Subject(s)
Bacteria/chemistry , Carbohydrates/chemistry , Databases, Factual , Mammals , Polysaccharides/chemistry , Animals , Bacteria/classification , Carbohydrate Sequence , Disaccharides/chemistry , Humans , Monosaccharides/chemistry
5.
ACS Chem Biol ; 2(10): 685-91, 2007 Oct 19.
Article in English | MEDLINE | ID: mdl-18041818

ABSTRACT

The diversity of three major classes of mammalian carbohydrates, mainly glycolipids and O- and N-linked glycans, deposited in the databank GLYCOSCIENCES.de was subjected to statistical analyses. Size, chain length, and branching complexity were accessed and revealed that the average oligosaccharide is composed of about eight monosaccharide units. About a quarter of all oligosaccharides are strictly linear, and the remainder are branched at least once. Glucosamine, galactose, and mannose are dominating and comprise ~75% of the monosaccharides within mammalian oligosaccharide frameworks. alpha-Linked sialic acid, alpha-linked fucose, and beta-linked galactose decorate the majority of reducing termini. Glucose as the most abundant carbohydrate in mammals plays only a very minor role within these structures. Particular emphasis was placed on analyzing the way the monosaccharide units are linked within the oligomeric framework. Just 11 monosaccharide connections account for >75% of all linkages. Thus, the number of structural combinations found in nature, the part of the occupied mammalian glycospace, is much smaller than expected. As a result, a potential set of building blocks for oligosaccharide assembly is presented. This potential building block set was correlated with the accessible 3299 mammalian carbohydrate structures in the GLYCOSCIENCES.de databank. Only 36 building blocks are required to construct 75% of the 3299 mammalian oligosaccharides.


Subject(s)
Data Interpretation, Statistical , Databases, Factual , Glycolipids/chemistry , Oligosaccharides/chemistry , Polysaccharides/chemistry , Animals , Humans
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