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      HMDB 5.0: the Human Metabolome Database for 2022

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          Abstract

          The Human Metabolome Database or HMDB ( https://hmdb.ca) has been providing comprehensive reference information about human metabolites and their associated biological, physiological and chemical properties since 2007. Over the past 15 years, the HMDB has grown and evolved significantly to meet the needs of the metabolomics community and respond to continuing changes in internet and computing technology. This year's update, HMDB 5.0, brings a number of important improvements and upgrades to the database. These should make the HMDB more useful and more appealing to a larger cross-section of users. In particular, these improvements include: (i) a significant increase in the number of metabolite entries (from 114 100 to 217 920 compounds); (ii) enhancements to the quality and depth of metabolite descriptions; (iii) the addition of new structure, spectral and pathway visualization tools; (iv) the inclusion of many new and much more accurately predicted spectral data sets, including predicted NMR spectra, more accurately predicted MS spectra, predicted retention indices and predicted collision cross section data and (v) enhancements to the HMDB’s search functions to facilitate better compound identification. Many other minor improvements and updates to the content, the interface, and general performance of the HMDB website have also been made. Overall, we believe these upgrades and updates should greatly enhance the HMDB’s ease of use and its potential applications not only in human metabolomics but also in exposomics, lipidomics, nutritional science, biochemistry and clinical chemistry.

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          Most cited references44

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          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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            DrugBank 5.0: a major update to the DrugBank database for 2018

            Abstract DrugBank (www.drugbank.ca) is a web-enabled database containing comprehensive molecular information about drugs, their mechanisms, their interactions and their targets. First described in 2006, DrugBank has continued to evolve over the past 12 years in response to marked improvements to web standards and changing needs for drug research and development. This year’s update, DrugBank 5.0, represents the most significant upgrade to the database in more than 10 years. In many cases, existing data content has grown by 100% or more over the last update. For instance, the total number of investigational drugs in the database has grown by almost 300%, the number of drug-drug interactions has grown by nearly 600% and the number of SNP-associated drug effects has grown more than 3000%. Significant improvements have been made to the quantity, quality and consistency of drug indications, drug binding data as well as drug-drug and drug-food interactions. A great deal of brand new data have also been added to DrugBank 5.0. This includes information on the influence of hundreds of drugs on metabolite levels (pharmacometabolomics), gene expression levels (pharmacotranscriptomics) and protein expression levels (pharmacoprotoemics). New data have also been added on the status of hundreds of new drug clinical trials and existing drug repurposing trials. Many other important improvements in the content, interface and performance of the DrugBank website have been made and these should greatly enhance its ease of use, utility and potential applications in many areas of pharmacological research, pharmaceutical science and drug education.
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              KEGG: new perspectives on genomes, pathways, diseases and drugs

              KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an encyclopedia of genes and genomes. Assigning functional meanings to genes and genomes both at the molecular and higher levels is the primary objective of the KEGG database project. Molecular-level functions are stored in the KO (KEGG Orthology) database, where each KO is defined as a functional ortholog of genes and proteins. Higher-level functions are represented by networks of molecular interactions, reactions and relations in the forms of KEGG pathway maps, BRITE hierarchies and KEGG modules. In the past the KO database was developed for the purpose of defining nodes of molecular networks, but now the content has been expanded and the quality improved irrespective of whether or not the KOs appear in the three molecular network databases. The newly introduced addendum category of the GENES database is a collection of individual proteins whose functions are experimentally characterized and from which an increasing number of KOs are defined. Furthermore, the DISEASE and DRUG databases have been improved by systematic analysis of drug labels for better integration of diseases and drugs with the KEGG molecular networks. KEGG is moving towards becoming a comprehensive knowledge base for both functional interpretation and practical application of genomic information.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                07 January 2022
                19 November 2021
                19 November 2021
                : 50
                : D1
                : D622-D631
                Affiliations
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Computing Science, University of Alberta , Edmonton, AB T6G 2E8, Canada
                Department of Laboratory Medicine and Pathology, University of Alberta , Edmonton, AB T6G 2B7, Canada
                Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta , Edmonton, AB T6G 2H7, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Computing Science, University of Alberta , Edmonton, AB T6G 2E8, Canada
                Department of Computing Science, University of Alberta , Edmonton, AB T6G 2E8, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Computing Science, University of Alberta , Edmonton, AB T6G 2E8, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Leiden Academic Centre for Drug Research LACDR/Analytical Biosciences , Leiden University, Leiden, Netherlands
                Laboratory of Pharmaceutical Pharmacology, Latvian Institute of Organic Synthesis , Riga, Latvia
                Section of Functional Pharmacology, Department of Neuroscience, Uppsala University , Uppsala, Sweden
                Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University , Moscow, Russia
                Department of Computing Science, University of Alberta , Edmonton, AB T6G 2E8, Canada
                Department of Biological Sciences, University of Alberta , Edmonton, AB T6G 2E9, Canada
                Author notes
                To whom correspondence should be addressed. Tel: +1 780 492 8574; Email: dwishart@ 123456ualberta.ca
                Author information
                https://orcid.org/0000-0002-3207-2434
                Article
                gkab1062
                10.1093/nar/gkab1062
                8728138
                65cc08ca-db4a-44b2-8603-98dd2ade13d1
                © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 October 2021
                : 13 October 2021
                : 15 September 2021
                Page count
                Pages: 10
                Funding
                Funded by: Genome Alberta, DOI 10.13039/501100010787;
                Funded by: Canada Foundation for Innovation, DOI 10.13039/501100000196;
                Funded by: Natural Sciences and Engineering Research Council of Canada, DOI 10.13039/501100000038;
                Funded by: Canadian Institutes of Health Research, DOI 10.13039/501100000024;
                Funded by: Alberta Machine Intelligence Institute, DOI 10.13039/100013373;
                Categories
                AcademicSubjects/SCI00010
                Database Issue

                Genetics
                Genetics

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