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http://www.glycosciences.de/

Portal of glycoinformatics resources including databases and bioinformatics tools for glycobiology and glycomics research. Databases include a bibliography, structure, nuclear magnetic resonance (NMR), mass spectroscopy (ms) and a PDB search.

Proper citation: glycosciences.de (RRID:SCR_002324) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/glyvicinity/

Service to generate statistics about the amino acids present in the vicinity of carbohydrate residues. Besides the amino acids in sequential neighborhood of glycosylation sites (analysed by GlySeq), those in the spatial vicinity of carbohydrate residues determine the characteristics of glycoproteins. The latter ones are of special interest for the examination of carbohydrate-binding proteins. Since carbohydrate moieties are not covalently bound in these cases, sequence analysis comparable to that for glycosylation sites is not possible there. GlyVicinity performs statistical analyses on the types of amino acids around carbohydrate chains and on the atoms forming the closest contacts between protein and carbohydrate residues. Results are based on weekly updated datasets derived from the Protein Data Bank (PDB).

Proper citation: GlyVicinity (RRID:SCR_001567) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/pdb2linucs/

Service that automatically extracts carbohydrate information from pdb-files and displays it in LINUCS or IUPAC notation. Many pdb-files contain carbohydrate structures. Since there is not such a standard nomenclature like it exists for amino acids, it is difficult to find the carbohydrate information. Sometimes entire oligosaccharides are encoded in one single residue. Information about carbohydrate linkages is often missing, and if it is present, it is not in a unique format and therefore also difficult to find.

Proper citation: pdb2linucs (RRID:SCR_001566) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/pdbcare/

Tool that checks carbohydrate residues in pdb-files for errors, aiding experimentalists in detecting discrepancies in connectivities and nomenclature.

Proper citation: pdb-care (RRID:SCR_001562) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/database/start.php?action=form_pdb_data

Search for carbohydrate containing PDB entries by criteria like species or the compound / classification terms. You can choose predefined, frequent terms from the pull-down-menus or enter your own queries manually.

Proper citation: pdb-data (RRID:SCR_000386) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/glytorsion/

Service that performs a statistical analysis of carbohydrate torsion angles derived from the Protein Data Bank. Such as protein conformation can be described by the backbone torsion angles, a carbohydrate structure is mainly characterised by its linkage torsions. With the aid of pdb2linucs, a dataset of carbohydrate torsion angles was derived from from carbohydrate structures found in the PDB. This weekly updated dataset contains, besides linkage torsions, also ring torsions, omega torsions, N-acetyle group torsions and sidechain torsions of Asn residues involved in Glycan bonds. It can be queried by GlyTorsion.

Proper citation: GlyTorsion (RRID:SCR_001568) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/glyseq/

Service dedicated to statistically analyze the sequences around glycosylation sites. Glycosylation belongs to the most common and most important co- and postranslational modifications of proteins. Since it is often difficult to determine which potential glycosylation sites are in fact glycosylated, there is only few data available about glycoproteins. Sources from which such data can be retrieved are SwissProt and the Protein Data Bank (PDB). Data from the PDB is obtained using pdb2linucs and updated weekly. GlySeq is dedicated to statistically analyze these sequences, especially the areas around glycosylation sites.

Proper citation: GlySeq (RRID:SCR_001569) Copy   

•   Source: SciCrunch Registry

http://www.fli-leibniz.de/IMAGE.html

Database aimed at disseminating information on three-dimensional biopolymer structures with an emphasis on visualization and analysis. It provides access to all structure entries deposited at the Protein Data Bank (PDB) or at the Nucleic Acid Database (NDB). In addition, basic information on the architecture of biopolymer structures is available. The JenaLib intends to fulfill both scientific and educational needs. Authors who are willing to make available images or coordinates to the scientific community via the Image Library of Biological Macromolecules are requested to contact the author. A PDB/SWISS-PROT cross-reference database combines information from both PDB and SWISS-PROT, thus providing significantly more cross-references than either PDB or SWISS-PROT. The existing brief descriptions of X-ray, NMR and FTIR methods for structure determination are supplemented by information on circular dichroism.

Proper citation: Jenalib: Jena Library of Biological Macromolecules (RRID:SCR_003031) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/carp/

Service that generates Ramachandran-like plots of carbohydrate linkage torsions in pdb-files. The Ramachandran Plot, where backbone torsion angles are plotted against each other, is a frequently used tool to evaluate the quality of a protein 3D structure. For carbohydrate structures, linkage torsions can be evaluated in a similar way. Preferred Phi/Psi values of the torsion angles of glycosidic bonds depend strongly on the types of monosaccharides involved in the linkage, the kind of linkage (1-3, 1-4, etc) as well as the degree of branching of the structure. CARP analyses carbohydrate data given in PDB files using the pdb2linucs algorithm. For each different linkage type a separate plot is generated. The user can choose between two sources for plot background information for comparison: data obtained from PDB provided by GlyTorsion or from GlycoMapsDB. GlycoMapsDB provides calculated conformational maps, which show energetically preferred regions for a specific linkage, while PDB data are based on experimentally solved structures. For seldom occuring linkages, however, PDB data are often rare, so maybe not sufficient background information for comparison will be available from this source., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CARP (RRID:SCR_009021) Copy   

•   Source: SciCrunch Registry