Mass spectrometry is the main analytical technique currently used to address the challenges of glycomics as it offers unrivalled levels of sensitivity and the ability to handle complex mixtures of different glycan variations. Determination of glycan structures from analysis of MS data is a major bottleneck in high-throughput glycomics projects, and robust solutions to this problem are of critical importance. However, all the approaches currently available have inherent restrictions to the type of glycans they can identify, and none of them have proved to be a definitive tool for glycomics. GlycoWorkbench is a software tool developed by the EUROCarbDB initiative to assist the manual interpretation of MS data. The main task of GlycoWorkbench is to evaluate a set of structures proposed by the user by matching the corresponding theoretical list of fragment masses against the list of peaks derived from the spectrum. The tool provides an easy to use graphical interface, a comprehensive and increasing set of str...

/pdf/glycoworkbench-a-tool-for-the-computer-assisted-annotation-49vo5ousfe.pdf

GlycoWorkbench: a tool for the computer-assisted annotation of mass spectra of glycans

MetaCyc (MetaCyc.org) is a comprehensive reference database of metabolic pathways and enzymes from all domains of life. It contains 2749 pathways derived from more than 60 000 publications, making it the largest curated collection of metabolic pathways. The data in MetaCyc are evidence-based and richly curated, resulting in an encyclopedic reference tool for metabolism. MetaCyc is also used as a knowledge base for generating thousands of organism-specific Pathway/Genome Databases (PGDBs), which are available in BioCyc.org and other genomic portals. This article provides an update on the developments in MetaCyc during September 2017 to August 2019, up to version 23.1. Some of the topics that received intensive curation during this period include cobamides biosynthesis, sterol metabolism, fatty acid biosynthesis, lipid metabolism, carotenoid metabolism, protein glycosylation, antibiotics and cytotoxins biosynthesis, siderophore biosynthesis, bioluminescence, vitamin K metabolism, brominated compound metabolism, plant secondary metabolism and human metabolism. Other additions include modifications to the GlycanBuilder software that enable displaying glycans using symbolic representation, improved graphics and fonts for web displays, improvements in the PathoLogic component of Pathway Tools, and the optional addition of regulatory information to pathway diagrams.

The MetaCyc database of metabolic pathways and enzymes - a 2019 update.

Current tandem mass spectral libraries for lipid annotations in metabolomics are limited in size and diversity. We provide a freely available computer-generated tandem mass spectral library of 212,516 spectra covering 119,200 compounds from 26 lipid compound classes, including phospholipids, glycerolipids, bacterial lipoglycans and plant glycolipids. We show platform independence by using tandem mass spectra from 40 different mass spectrometer types including low-resolution and high-resolution instruments.

https://escholarship.org/content/qt2j8653f5/qt2j8653f5.pdf?t=qak9nq

LipidBlast in silico tandem mass spectrometry database for lipid identification

Glycans as cancer biomarkers.

The technological advances of the past century, marked by the computer revolution and the advent of high-throughput screening technologies in drug discovery, opened the path to the computational analysis and visualization of bioactive molecules. For this purpose, it became necessary to represent molecules in a syntax that would be readable by computers and understandable by scientists of various fields. A large number of chemical representations have been developed over the years, their numerosity being due to the fast development of computers and the complexity of producing a representation that encompasses all structural and chemical characteristics. We present here some of the most popular electronic molecular and macromolecular representations used in drug discovery, many of which are based on graph representations. Furthermore, we describe applications of these representations in AI-driven drug discovery. Our aim is to provide a brief guide on structural representations that are essential to the practice of AI in drug discovery. This review serves as a guide for researchers who have little experience with the handling of chemical representations and plan to work on applications at the interface of these fields.

/pdf/molecular-representations-in-ai-driven-drug-discovery-a-2ebnmv3o1a.pdf

Molecular representations in AI-driven drug discovery: a review and practical guide

GlycoCT-a unifying sequence format for carbohydrates.

Mass spectrometric techniques are the key technology for rapid and reliable glycan analysis. However, the lack of robust, dependable, and freely available software for the (semi-) automatic annotation of mass spectra is still a severe bottleneck that hampers their rapid interpretation. In this article the "Glyco-Peakfinder" web-service is described allowing de novo determination of glycan compositions from their mass signals. Starting from a basic set of mandatory masses of glycan components, the calculation can be performed without any knowledge concerning the biological background of the sample or the fragmentation technique used. "Glyco-Peakfinder" assigns all types of fragment ions including monosaccharide cross-ring cleavage products and multiply charged ions. It provides full user control to handle modified glycans (persubstituted molecules, reducing-end modifications, glycoconjugates) and ion types. The formula applied to calculate the fragment masses and an outline of the implemented algorithm are discussed. A systematic evaluation of the dependence of all factors influencing the computation time revealed strikingly different impact of the individual calculation steps. To provide access to known carbohydrate structures a "composition search" in the open access database GLYCOSCIENCES.de can be performed. The service is available at the URL: www.eurocarbdb.org/applications/ms-tools.

"Glyco-peakfinder"--de novo composition analysis of glycoconjugates.

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.

/pdf/glycomedb-integration-of-open-access-carbohydrate-structure-frtepk0fce.pdf

GlycomeDB – integration of open-access carbohydrate structure databases

Functional glycomics, the scientific attempt to identify and assign functions to all glycan molecules synthesized by an organism, is an emerging field of science. In recent years, several databases have been started, all aiming to support deciphering the biological function of carbohydrates. However, diverse encoding and storage schemes are in use amongst these databases, significantly hampering the interchange of data. The mutual online access between the Bacterial Carbohydrate Structure DataBase (BCSDB) and the GLYCOSCIENCES.de portal, as a first reported attempt of a structurebased direct interconnection of two glyco-related databases is described. In this approach, users have to learn only one interface, will always have access to the latest data of both services, and will have the results of both searches presented in a consistent way. The establishment of this connection helped to find shortcomings and inconsistencies in the database design and functionality related to underlying data concepts and structural representations. For the maintenance of the databases, duplication of work can be easily avoided, and will hopefully lead to a better worldwide acceptance of both services within the community of glycoscienists. BCSDB is available at http: //www.glyco.ac.ru/bcsdb/ and the GLYCOSCIENCES.de portal at http://www. glycosciences.de/

/pdf/sharing-of-worldwide-distributed-carbohydrate-related-1e4jaguj7z.pdf

Sharing of worldwide distributed carbohydrate-related digital resources: online connection of the Bacterial Carbohydrate Structure DataBase and GLYCOSCIENCES.de

Introduction to Carbohydrate Structure and Diversity

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