Glycomics@ExPASy: Bridging the Gap.

Glycomics@ExPASy (https://www.expasy.org/glycomics) is the glycomics tab of ExPASy, the server of SIB Swiss Institute of Bioinformatics. It was created in 2016 to centralize web-based glycoinformatics resources developed within an international network of glycoscientists. The hosted collection currently includes mainly databases and tools created and maintained at SIB but also links to a range of reference resources popular in the glycomics community. The philosophy of our toolbox is that it should be {glycoscientist AND protein scientist}-friendly with the aim of (1) popularizing the use of bioinformatics in glycobiology and (2) emphasizing the relationship between glycobiology and protein-oriented bioinformatics resources. The scarcity of data bridging these two disciplines led us to design tools as interactive as possible based on database connectivity to facilitate data exploration and support hypothesis building. Glycomics@ExPASy was designed, and is developed, with a long-term vision in close collaboration with glycoscientists to meet as closely as possible the growing needs of the community for glycoinformatics.

Glycoforest 1.0.

Tandem mass spectrometry, when combined with liquid chromatography and applied to complex mixtures, produces large amounts of raw data, which needs to be analyzed to identify molecular structures. This technique is widely used, particularly in glycomics. Due to a lack of high throughput glycan sequencing software, glycan spectra are predominantly sequenced manually. A challenge for writing glycan-sequencing software is that there is no direct template that can be used to infer structures detectable in an organism. To help alleviate this bottleneck, we present Glycoforest 1.0, a partial de novo algorithm for sequencing glycan structures based on MS/MS spectra. Glycoforest was tested on two data sets (human gastric and salmon mucosa O-linked glycomes) for which MS/MS spectra were annotated manually. Glycoforest generated the human validated structure for 92% of test cases. The correct structure was found as the best scoring match for 70% and among the top 3 matches for 83% of test cases. In addition, the Glycoforest algorithm detected glycan structures from MS/MS spectra missing a manual annotation. In total 1532 MS/MS previously unannotated spectra were annotated by Glycoforest. A portion containing 521 spectra was manually checked confirming that Glycoforest annotated an additional 50 MS/MS spectra overlooked during manual annotation.

Mining Large Scale Tandem Mass Spectrometry Data for Protein Modifications Using Spectral Libraries.

Experimental improvements in post-translational modification (PTM) detection by tandem mass spectrometry (MS/MS) has allowed the identification of vast numbers of PTMs. Open modification searches (OMSs) of MS/MS data, which do not require prior knowledge of the modifications present in the sample, further increased the diversity of detected PTMs. Despite much effort, there is still a lack of functional annotation of PTMs. One possibility to narrow the annotation gap is to mine MS/MS data deposited in public repositories and to correlate the PTM presence with biological meta-information attached to the data. Since the data volume can be quite substantial and contain tens of millions of MS/MS spectra, the data mining tools must be able to cope with big data. Here, we present two tools, Liberator and MzMod, which are built using the MzJava class library and the Apache Spark large scale computing framework. Liberator builds large MS/MS spectrum libraries, and MzMod searches them in an OMS mode. We applied these tools to a recently published set of 25 million spectra from 30 human tissues and present tissue specific PTMs. We also compared the results to the ones obtained with the OMS tool MODa and the search engine X!Tandem.

Pyridomycin bridges the NADH- and substrate-binding pockets of the enoyl reductase InhA.

Pyridomycin, a natural product with potent antituberculosis activity, inhibits a major drug target, the InhA enoyl reductase. Here, we unveil the co-crystal structure and unique ability of pyridomycin to block both the NADH cofactor- and lipid substrate-binding pockets of InhA. This is to our knowledge a first-of-a-kind binding mode that discloses a new means of InhA inhibition. Proof-of-principle studies show how structure-assisted drug design can improve the activity of new pyridomycin derivatives.

Unrestricted modification search reveals lysine methylation as major modification induced by tissue formalin fixation and paraffin embedding.

Formalin-fixed paraffin-embedded (FFPE) tissue is considered as an appropriate alternative to frozen/fresh tissue for proteomic analysis. Here we study formalin-induced alternations on a proteome-wide level. We compared LC-MS/MS data of FFPE and frozen human kidney tissues by two methods. First, clustering analysis revealed that the biological variation is higher than the variation introduced by the two sample processing techniques and clusters formed in accordance with the biological tissue origin and not with the sample preservation method. Second, we combined open modification search and spectral counting to find modifications that are more abundant in FFPE samples compared to frozen samples. This analysis revealed lysine methylation (+14 Da) as the most frequent modification induced by FFPE preservation. We also detected a slight increase in methylene (+12 Da) and methylol (+30 Da) adducts as well as a putative modification of +58 Da, but they contribute less to the overall modification count. Subsequent SEQUEST analysis and X!Tandem searches of different datasets confirmed these trends. However, the modifications due to FFPE sample processing are a minor disturbance affecting 2-6% of all peptide-spectrum matches and the peptides lists identified in FFPE and frozen tissues are still highly similar.

Distinctive localization of antigen-presenting cells in human lymph nodes.

Professional antigen-presenting cells (APCs) are sentinel cells of the immune system that present antigen to T lymphocytes and mediate an appropriate immune response. It is therefore surprising that knowledge of the professional APCs in human lymph nodes is limited. Using 3-color immunohistochemistry, we have identified APCs in human lymph nodes, excluding plasmacytoid APCs, that fall into 2 nonoverlapping classes: (1) CD209+ APCs, coexpressing combinations of CD206, CD14, and CD68, that occupied the medullary cords, lined the capsule and trabeculae and were also scattered throughout the diffuse T-lymphocyte areas of the paracortex; and (2) APCs expressing combinations of CD1a, CD207, and CD208, that were always restricted to the paracortex. Surprisingly, this second class of APCs was almost entirely absent from many lymph nodes. Our data suggest that most CD208+ cells, often referred to as "interdigitating cells," derive from migratory APCs, and that the major APC subset consistently resident in the paracortex of human lymph nodes is the CD209+ subset. All APC subsets were demonstrated to be in close contact with the fibroreticular network. The identification of 2 distinct APC populations in the paracortex of human lymph nodes has important implications for understanding T-lymphocyte responses and optimizing vaccine design.

Synthesis and Structure-Activity Relationship Studies of C2-Modified Analogs of the Antimycobacterial Natural Product Pyridomycin.

A series of derivatives of the antimycobacterial natural product pyridomycin have been prepared with the C2 side chain attached to the macrocyclic core structure by a C-C single bond, in place of the synthetically more demanding enol ester double bond found in the natural product. Hydrophobic C2 substituents of sufficient size generally provide for potent anti-Mtb activity of these dihydropyridomycins (minimum inhibitory concentration (MIC) values around 2.5 µM), with several analogs thus approaching the activity of natural pyridomycin. Surprisingly, some of these compounds, in contrast to pyridomycin, are insensitive to overexpression of InhA in Mycobacterium tuberculosis (Mtb). This indicates that their anti-Mtb activity does not critically depend on the inhibition of InhA and that their overall mode of action may differ from that of the original natural product lead.

Towards a standardized bioinformatics infrastructure for N- and O-glycomics.

The mass spectrometry (MS)-based analysis of free polysaccharides and glycans released from proteins, lipids and proteoglycans increasingly relies on databases and software. Here, we review progress in the bioinformatics analysis of protein-released N- and O-linked glycans (N- and O-glycomics) and propose an e-infrastructure to overcome current deficits in data and experimental transparency. This workflow enables the standardized submission of MS-based glycomics information into the public repository UniCarb-DR. It implements the MIRAGE (Minimum Requirement for A Glycomics Experiment) reporting guidelines, storage of unprocessed MS data in the GlycoPOST repository and glycan structure registration using the GlyTouCan registry, thereby supporting the development and extension of a glycan structure knowledgebase.

Property Graph vs RDF Triple Store: A Comparison on Glycan Substructure Search.

Resource description framework (RDF) and Property Graph databases are emerging technologies that are used for storing graph-structured data. We compare these technologies through a molecular biology use case: glycan substructure search. Glycans are branched tree-like molecules composed of building blocks linked together by chemical bonds. The molecular structure of a glycan can be encoded into a direct acyclic graph where each node represents a building block and each edge serves as a chemical linkage between two building blocks. In this context, Graph databases are possible software solutions for storing glycan structures and Graph query languages, such as SPARQL and Cypher, can be used to perform a substructure search. Glycan substructure searching is an important feature for querying structure and experimental glycan databases and retrieving biologically meaningful data. This applies for example to identifying a region of the glycan recognised by a glycan binding protein (GBP). In this study, 19,404 glycan structures were selected from GlycomeDB (www.glycome-db.org) and modelled for being stored into a RDF triple store and a Property Graph. We then performed two different sets of searches and compared the query response times and the results from both technologies to assess performance and accuracy. The two implementations produced the same results, but interestingly we noted a difference in the query response times. Qualitative measures such as portability were also used to define further criteria for choosing the technology adapted to solving glycan substructure search and other comparable issues.

MzJava: An open source library for mass spectrometry data processing.

Mass spectrometry (MS) is a widely used and evolving technique for the high-throughput identification of molecules in biological samples. The need for sharing and reuse of code among bioinformaticians working with MS data prompted the design and implementation of MzJava, an open-source Java Application Programming Interface (API) for MS related data processing. MzJava provides data structures and algorithms for representing and processing mass spectra and their associated biological molecules, such as metabolites, glycans and peptides. MzJava includes functionality to perform mass calculation, peak processing (e.g. centroiding, filtering, transforming), spectrum alignment and clustering, protein digestion, fragmentation of peptides and glycans as well as scoring functions for spectrum-spectrum and peptide/glycan-spectrum matches. For data import and export MzJava implements readers and writers for commonly used data formats. For many classes support for the Hadoop MapReduce (hadoop.apache.org) and Apache Spark (spark.apache.org) frameworks for cluster computing was implemented. The library has been developed applying best practices of software engineering. To ensure that MzJava contains code that is correct and easy to use the library's API was carefully designed and thoroughly tested. MzJava is an open-source project distributed under the AGPL v3.0 licence. MzJava requires Java 1.7 or higher. Binaries, source code and documentation can be downloaded from http://mzjava.expasy.org and https://bitbucket.org/sib-pig/mzjava. This article is part of a Special Issue entitled: Computational Proteomics.

ADRIS--The Adverse Drug Reactions Information Scheme.

Under the Adverse Drug Reactions Information Scheme (ADRIS) data and knowledge relevant to the etiology of adverse drug reactions (ADRs) such as chemical structure of parent compounds, metabolites, covalent adducts, nucleic acid and protein sequences, protein structures, pharmaco-, toxico- and enzyme kinetics, pharmaco- and toxicodynamics, protein interactions, molecular pathways and complexes, as well as toxicological and clinical outcomes, are collected and logically and semantically related. ADRIS reflects the ontological prerequisite for the creation of databases and knowledge discovery systems for the abstraction and visualization of theragenomic concepts. A final outcome is the prediction of ADRs based on a profound knowledge of drug function and the molecular basics for personalized drug safety and eventually, personalized medicine.

ADRIS - The Adverse Drug Reactions Information Scheme.

Under the Adverse Drug Reactions Information Scheme (ADRIS) data and knowledge relevant to the etiology of adverse drug reactions (ADRs) such as chemical structure of parent compounds, metabolites, covalent adducts, nucleic acid and protein sequences, protein structures, pharmaco-, toxico- and enzyme kinetics, pharmaco- and toxicodynamics, protein interactions, molecular pathways and complexes, as well as toxicological and clinical outcomes, are collected and logically and semantically related. ADRIS reflects the ontological prerequisite for the creation of databases and knowledge discovery systems for the abstraction and visualization of theragenomic concepts. A final outcome is the prediction of ADRs based on a profound knowledge of drug function and the molecular basics for personalized drug safety and eventually, personalized medicine. 2004

Synthesis and antimycobacterial activity of 2,1'-dihydropyridomycins.

Dihydropyridomycins 2 and 3, which lack the characteristic enol ester moiety of the potent antimycobacterial natural product pyridomycin (1), have been prepared from l-Thr, R- and S-hydroxy isovaleric acid, and 3-pyridinecarboxaldehyde. The 2R isomer 2 shows only 4-fold lower anti-Mtb activity than 1, indicating that the enol ester moiety in the natural product is not critical for its biological activity. This finding establishes 2 as a potent and more practical lead for anti-TB drug discovery.

The Chemistry Development Kit (CDK): an open-source Java library for Chemo- and Bioinformatics.

The Chemistry Development Kit (CDK) is a freely available open-source Java library for Structural Chemo- and Bioinformatics. Its architecture and capabilities as well as the development as an open-source project by a team of international collaborators from academic and industrial institutions is described. The CDK provides methods for many common tasks in molecular informatics, including 2D and 3D rendering of chemical structures, I/O routines, SMILES parsing and generation, ring searches, isomorphism checking, structure diagram generation, etc. Application scenarios as well as access information for interested users and potential contributors are given.