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Carbohydrates and glycoproteins modulate key biological functions. Computational approaches inform function to aid in carbohydrate structure prediction, structure determination, and design. However, experimental structure determination of sugar polymers is notoriously difficult as glycans can sample a wide range of low energy conformations, thus limiting the study of glycan-mediated molecular interactions. In this work, we expanded theRosettaCarbohydrateframework, developed and benchmarked effective tools for glycan modeling and design, and extended the Rosetta software suite to better aid in structural analysis and benchmarking tasks through the SimpleMetrics framework. We developed a glycan-modeling algorithm,GlycanTreeModeler, that computationally builds glycans layer-by-layer, using adaptive kernel density estimates (KDE) of common glycan conformations derived from data in the Protein Data Bank (PDB) and from quantum mechanics (QM) calculations. After a rigorous optimization of kinematic and energetic considerations to improve near-native sampling enrichment and decoy discrimination,GlycanTreeModelerwas benchmarked on a test set of diverse glycan structures, or “trees”. Structures predicted byGlycanTreeModeleragreed with native structures at high accuracy for bothde novomodeling and experimental density-guided building.GlycanTreeModeleralgorithms and associated tools were employed to designde novoglycan trees into a protein nanoparticle vaccine that are able to direct the immune response by shielding regions of the scaffold from antibody recognition. This work will inform glycoprotein model prediction, aid in both X-ray and electron microscopy density solutions and refinement, and help lead the way towards a new era of computational glycobiology.

We report on the activities of the 2015 edition of the BioHackathon, an annual event that brings together researchers and developers from around the world to develop tools and technologies that promote the reusability of biological data. We discuss issues surrounding the representation, publication, integration, mining and reuse of biological data and metadata across a wide range of biomedical data types of relevance for the life sciences, including chemistry, genotypes and phenotypes, orthology and phylogeny, proteomics, genomics, glycomics, and metabolomics. We describe our progress to address ongoing challenges to the reusability and reproducibility of research results, and identify outstanding issues that continue to impede the progress of bioinformatics research. We share our perspective on the state of the art, continued challenges, and goals for future research and development for the life sciences Semantic Web.

The results and challenges of carbohydrate handling in the current PDB-REDO databank are discussed., Glycosylation is one of the most common forms of protein post-translational modification, but is also the most complex. Dealing with glycoproteins in structure model building, refinement, validation and PDB deposition is more error-prone than dealing with nonglycosylated proteins owing to limitations of the experimental data and available software tools. Also, experimentalists are typically less experienced in dealing with carbohydrate residues than with amino-acid residues. The results of the reannotation and re-refinement by PDB-REDO of 8114 glycoprotein structure models from the Protein Data Bank are analyzed. The positive aspects of 3620 reannotations and subsequent refinement, as well as the remaining challenges to obtaining consistently high-quality carbohydrate models, are discussed.

Glycosciences.DB, the glycan structure database of the Glycosciences.de portal, collects various kinds of data on glycan structures, including carbohydrate moieties from worldwide Protein Data Bank (wwPDB) structures. This way it forms a bridge between glycomics and proteomics resources. A major update of this database combines a redesigned web interface with a series of new functions. These include separate entry pages not only for glycan structures but also for literature references and wwPDB entries, improved substructure search options, a newly available keyword search covering all types of entries in one query, and new types of information that is added to glycan structures. These new features are described in detail in this article, and options how users can provide information to the database are discussed as well. Glycosciences.DB is available at http://www.glycosciences.de/database/ and can be freely accessed.

Interactions between human lysozyme (HL) and the lipopolysaccharide (LPS) of Klebsiella pneumoniae O1, a causative agent of lung infection, were identified by surface plasmon resonance. To characterize the molecular mechanism of this interaction, HL binding to synthetic disaccharides and tetrasaccharides representing one and two repeating units, respectively, of the O-chain of this LPS were studied. pH-dependent structural rearrangements of HL after interaction with the disaccharide were observed through nuclear magnetic resonance. The crystal structure of the HL-tetrasaccharide complex revealed carbohydrate chain packing into the A, B, C, and D binding sites of HL, which primarily occurred through residue-specific, direct or water-mediated hydrogen bonds and hydrophobic contacts. Overall, these results support a crucial role of the Glu35/Asp53/Trp63/Asp102 residues in HL binding to the tetrasaccharide. These observations suggest an unknown glycan-guided mechanism that underlies recognition of the bacterial cell wall by lysozyme and may complement the HL immune defense function.

In mammals several cell adhesion molecules are involved during the pre- and postnatal development of all organ systems. A very prominent member of this family is the neural cell adhesion molecule (NCAM). Interestingly, NCAM can be a target for a special form of posttranslational modification: polysialylation. Whereas nearly all extracellular proteins bear mono-sialic acid residues, only a very small group can be polysialylated. Polysialic acid is a highly negatively-charged sugar polymer and can comprise more than 90 sialic acid residues in postnatal mouse brains increasing dramatically the hydrodynamic radius of their carriers. Thus, adhesion and communication processes on cell surfaces are strongly influenced allowing, e.g., the migration of neuronal progenitor cells. In the developing brain the essential role of polysialylated NCAM has been demonstrated in many studies. In comparison to the neuronal system, however, during the formation of other organs the impact of the polysialylated form of NCAM is not well characterized and the number of studies is limited so far. This review summarizes these observations and discusses possible roles of polysialylated NCAM during the development of organs other than the brain.

Various glycoinformatics resources developed their individual notations for encoding of glycan structure information. Therefore, translation of glycan structures is required for an efficient use of multiple resources and for data exchange. A major problem for translations is residue notation, because individual notations use different names to encode the same residues, and the number of different monosaccharides is too large to quickly build a translation table manually. MonosaccharideDB offers various means to perform translation of carbohydrate residue names. This chapter illustrates the usage of the MonosaccharideDB web interface for both manual and automated conversion and validation of glycan residues.

The GLYCOSCIENCES.de web portal (www.glycosciences.de) combines various databases and applications related to glycobiology and glycomics. This chapter demonstrates the use of these resources to find a variety of information on the LewisX (LeX) epitope such as literature references, NMR data, or corresponding PDB entries. Several query options are presented that enable the users to find the information of interest from different point of views. The main focus of GLYCOSCIENCES.de is put on 3D structural data. Therefore, methods to create 3D structure models with the Sweet-II tool and to analyze conformational properties of LeX by usage of PDB data and conformational maps from GlycoMapsDB are also introduced in this chapter.

Neutrophil extracellular traps (NETs) are formed by neutrophils during inflammation. Among other things, these DNA constructs consist of antimicrobial proteins such as lactoferrin and histones. With these properties, NETs capture and destroy invading microorganisms. The carbohydrate polysialic acid (polySia) interacts with both lactoferrin and histones. Previous experiments demonstrated that, in humans, lactoferrin inhibits the release of NET and that this effect is supported by polySia. In this study, we examined the interplay of lactoferrin and polySia in already-formed NETs from bovine neutrophils. The binding of polySia was considered to occur at the lactoferricin (LFcin)-containing domain of lactoferrin. The interaction with the peptide LFcin was studied in more detail using groups of defined polySia chain lengths, which suggested a chain-length-dependent interaction mechanism with LFcin. The LFcin domain of lactoferrin was found to interact with DNA. Therefore, the possibility that polySia influences the integration of lactoferrin into the DNA-structures of NETs was tested by isolating bovine neutrophils and inducing NETosis. Experiments with NET fibers saturated with lactoferrin demonstrated that polySia initiates the incorporation of external lactoferrin in already-loaded NETs. Thus, polySia may modulate the constituents of NET.

Summary The GLYcan Data Exchange (GLYDE) standard has been developed for the representation of the chemical structures of monosaccharides, glycans and glycoconjugates using a connection table formalism formatted in XML. This format allows structures, including those that do not exist in any database, to be unambiguously represented and shared by diverse computational tools. GLYDE implements a partonomy model based on human language along with rules that provide consistent structural representations, including a robust namespace for specifying monosaccharides. This approach facilitates the reuse of data processing software at the level of granularity that is most appropriate for extraction of the desired information. GLYDE-II has already been used as a key element of several glycoinformatics tools. The philosophical and technical underpinnings of GLYDE-II and recent implementation of its enhanced features are described.

Glycoproteins and protein–carbohydrate complexes in the worldwide Protein Data Bank (wwPDB) can be an excellent source of information for glycoscientists. Unfortunately, a rather large number of errors and inconsistencies is found in the glycan moieties of these 3D structures. This review illustrates frequent problems of carbohydrate moieties in wwPDB entries, such as nomenclature issues, incorrect N-glycan core structures, missing or erroneous linkages, or poor glycan geometry, and describes the carbohydrate-specific validation tools that are designed to identify such problems. Recommendations how to avoid these issues or how to rectify incorrect structures are also given.

Proteoglycans and collagen molecules are interacting with each other thereby forming various connective tissues. The sulfation pattern of proteoglycans differs depending on the kind of tissue and/or the degree of maturation. Tissues from Cnidaria are suitable examples for exploration of the effects in relation to the presence and the absence of sulfate groups, when studying characteristic fragments of the long proteoglycan carbohydrate chains in silico. It has been described that a non-sulfated chondroitin appears as a scaffold in early morphogenesis of all nematocyst types in Hydra. On the other hand, sulfated glucosaminoglycans play an important role in various developmental processes of Cnidaria. In order to understand this biological phenomenon on a sub-molecular level we have analysed the structures of sulfated and non-sulfated proteoglycan carbohydrate chains as well as the structure of diverse collagen molecules with computational methods including quantum chemical calculations. The strong interactions between the sulfate groups of the carbohydrates moieties in proteoglycans and positively charged regions of collagen are essential in stabilizing various Cnidaria tissues but could hinder the nematocyst formation and its proper function. The results of our quantum chemical calculations show that the sulfation pattern has a significant effect on the conformation of chondroitin structures under study.

Summary This report presents the conclusions of the X-ray Validation Task Force of the worldwide Protein Data Bank (PDB). The PDB has expanded massively since current criteria for validation of deposited structures were adopted, allowing a much more sophisticated understanding of all the components of macromolecular crystals. The size of the PDB creates new opportunities to validate structures by comparison with the existing database, and the now-mandatory deposition of structure factors creates new opportunities to validate the underlying diffraction data. These developments highlighted the need for a new assessment of validation criteria. The Task Force recommends that a small set of validation data be presented in an easily understood format, relative to both the full PDB and the applicable resolution class, with greater detail available to interested users. Most importantly, we recommend that referees and editors judging the quality of structural experiments have access to a concise summary of well-established quality indicators., Highlights ► Validation criteria used by the PDB for X-ray crystal structures have been reassessed ► Key scores should be presented prominently in an easily understood format ► A concise validation report should be available to referees of papers on crystal structures

The EUROCarbDB project is a design study for a technical framework, which provides sophisticated, freely accessible, open-source informatics tools and databases to support glycobiology and glycomic research. EUROCarbDB is a relational database containing glycan structures, their biological context and, when available, primary and interpreted analytical data from high-performance liquid chromatography, mass spectrometry and nuclear magnetic resonance experiments. Database content can be accessed via a web-based user interface. The database is complemented by a suite of glycoinformatics tools, specifically designed to assist the elucidation and submission of glycan structure and experimental data when used in conjunction with contemporary carbohydrate research workflows. All software tools and source code are licensed under the terms of the Lesser General Public License, and publicly contributed structures and data are freely accessible. The public test version of the web interface to the EUROCarbDB can be found at http://www.ebi.ac.uk/eurocarb.

The article summarizes the information that is gained from and the errors that are found in carbohydrate structures in the Protein Data Bank. Validation tools that can locate these errors are described., Knowledge of the three-dimensional structures of the carbo­hydrate molecules is indispensable for a full understanding of the molecular processes in which carbohydrates are involved, such as protein glycosylation or protein–carbohydrate interactions. The Protein Data Bank (PDB) is a valuable resource for three-dimensional structural information on glycoproteins and protein–carbohydrate complexes. Unfortunately, many carbohydrate moieties in the PDB contain inconsistencies or errors. This article gives an overview of the information that can be obtained from individual PDB entries and from statistical analyses of sets of three-dimensional structures, of typical problems that arise during the analysis of carbohydrate three-dimensional structures and of the validation tools that are currently available to scientists to evaluate the quality of these structures.

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Protein-carbohydrate interactions are involved in various essential biological events. 3D structural data from the Protein Data Bank (PDB) can help to understand the molecular basis of the specificity of carbohydrate recognition by proteins. Such interactions can be analyzed statistically using GlyVicinity. This chapter exemplifies the usage of this tool to find information on the frequency of the occurrence of specific amino acids in the vicinity of individual carbohydrate residues and to analyze the type of interacting atoms and their spatial distribution around the glycans.

NMR spectroscopy is frequently used in structural characterization of carbohydrates. The GLYCOSCIENCES.de database contains more than 3,000 NMR spectra stored as lists of chemical shifts, which can be searched online by atom and residue names and by chemical shift values. This chapter describes how to use the different interfaces to get access to these data. The atom search allows querying the database for NMR spectra that contain a specific carbohydrate residue with an NMR shift in a given range assigned to a particular atom, whereas the peak search enables queries to find spectra with NMR shifts most similar to a list of given shifts. The shift estimation feature facilitates prediction of NMR shifts of glycans, for which no experimental data are available.

The frequency of glycosylated protein 3D structures in the Protein Data Bank (PDB) is significantly lower than the proportion of glycoproteins in nature, and if glycan 3D structures are present, then they often exhibit a large degree of errors. There are various reasons for this, one of which is a comparably low support of carbohydrates in software tools for 3D structure determination and validation. This chapter illustrates the current features that assist crystallographers with handling glycans during 3D structure determination in Coot and CNS and with validation of the results.

Various glycobioinformatics resources have developed individual carbohydrate sequence formats to store and handle glycan data. This diversity of sequence formats is one of the major reasons for a rather low interoperability of glycobioinformatics resources. The formats have often been optimized to serve special requirements of the individual resources and are thus not fully compatible, but in many cases translation from one format to another is possible. This chapter summarizes some of the major glycan sequence formats and demonstrates the use of tools for translation between these formats. Some pitfalls that users of sequence conversion tools need to pay attention to are also illustrated.

The frequency of glycosylated protein 3D structures in the Protein Data Bank (PDB) is significantly lower than the proportion of glycoproteins in nature, and if glycan 3D structures are present, then they often exhibit a large degree of errors. There are various reasons for this, one of which is a comparably low support of carbohydrates in software tools for 3D structure determination and validation. This chapter illustrates the current features that assist crystallographers with handling glycans during 3D structure determination in Coot and CNS and with validation of the results.

Protein-carbohydrate interactions are involved in various essential biological events. 3D structural data from the Protein Data Bank (PDB) can help to understand the molecular basis of the specificity of carbohydrate recognition by proteins. Such interactions can be analyzed statistically using GlyVicinity. This chapter exemplifies the usage of this tool to find information on the frequency of the occurrence of specific amino acids in the vicinity of individual carbohydrate residues and to analyze the type of interacting atoms and their spatial distribution around the glycans.

NMR spectroscopy is frequently used in structural characterization of carbohydrates. The GLYCOSCIENCES.de database contains more than 3,000 NMR spectra stored as lists of chemical shifts, which can be searched online by atom and residue names and by chemical shift values. This chapter describes how to use the different interfaces to get access to these data. The atom search allows querying the database for NMR spectra that contain a specific carbohydrate residue with an NMR shift in a given range assigned to a particular atom, whereas the peak search enables queries to find spectra with NMR shifts most similar to a list of given shifts. The shift estimation feature facilitates prediction of NMR shifts of glycans, for which no experimental data are available.

Various glycobioinformatics resources have developed individual carbohydrate sequence formats to store and handle glycan data. This diversity of sequence formats is one of the major reasons for a rather low interoperability of glycobioinformatics resources. The formats have often been optimized to serve special requirements of the individual resources and are thus not fully compatible, but in many cases translation from one format to another is possible. This chapter summarizes some of the major glycan sequence formats and demonstrates the use of tools for translation between these formats. Some pitfalls that users of sequence conversion tools need to pay attention to are also illustrated.

Escherichia coli O-antigen database (ECODAB) is aweb-based application to support the collection of E. coli O-antigen structures, polymerase and flippase amino acid sequences, NMR chemical shift data of O-antigens as well as information on glycosyltransferases (GTs) involved in the assembly of O-antigen polysaccharides. The database content has been compiled from scientific literature. Furthermore, the system has evolved from being a repository to one that can be used for generating novel data on its own. GT specificity is suggested through sequence comparison with GTs whose function is known. The migration of ECODAB to a relational database has allowed the automation of all processes to update, retrieve and present information, thereby, endowing the system with greater flexibility and improved overall performance. ECODAB is freely available at http://www.casper.organ.su.se/ECODAB/. Currently, data on 169 E. coli unique O-antigen entries and 338 GTs is covered. Moreover, the scope of the database has been extended so that polysaccharide structure and related information from other bacteria subsequently can be added, for example, from Streptococcus pneumoniae. AuthorCount:4

The compilation of data collections for carbohydrates has only recently gained momentum. The availability of such comprehensive databases, however, will be a prerequisite to successfully perform large-scale glycomics projects aiming to decipher new biological functions of glycans. With the carbohydrate structure suite (CSS), the carbohydrate-related data contained in the protein data bank (PDB) are now accessible through the Internet. It turned out that the PDB is a versatile resource for structural aspects in glycobiology. It provides reliable data about glycosylation sites, the conformational preferences of glycans and the specificity of protein carbohydrate recognition. A detailed comparison between the carbohydrate assignment reported in the PDB files and the nomenclature derived from atom coordinates guarantees that only consistent data will be evaluated. The automatic assignment of a unique structural description (LINUCS notation) enables easy cross-linking and referencing with other carbohydrate-re...

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.

Knowledge of the 3D structure of glycoproteins and protein-carbohydrate complexes is indispensable to fully understand the biological processes they are involved in. Carbohydrate Structure Suite is an attempt to automatically analyse carbohydrate structures contained in the PDB and make the results publicly available on the internet. Characteristic torsion angles, glycoprotein sequences and carbohydrate-protein interactions are analysed. Furthermore, tools to crosslink the PDB and carbohydrate databases and to check the integrity of carbohydrate 3D structures are included. The service is available at (www.dkfz.de/spec/css/).

Vor vier Jahren erschien in dieser Rubrik ein Beitrag uber Dateiformatkonverter. Inzwischen gibt es Neuigkeiten. Grund genug, sich mit den aktuellen Versionen auseinander zu setzen, die langfristig dem Klassiker BABEL die Popularitat streitig machen konnten.