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      The reactome pathway knowledgebase

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          Abstract

          The Reactome Knowledgebase ( https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations in a single consistent data model, an extended version of a classic metabolic map. Reactome functions both as an archive of biological processes and as a tool for discovering functional relationships in data such as gene expression profiles or somatic mutation catalogs from tumor cells. To extend our ability to annotate human disease processes, we have implemented a new drug class and have used it initially to annotate drugs relevant to cardiovascular disease. Our annotation model depends on external domain experts to identify new areas for annotation and to review new content. New web pages facilitate recruitment of community experts and allow those who have contributed to Reactome to identify their contributions and link them to their ORCID records. To improve visualization of our content, we have implemented a new tool to automatically lay out the components of individual reactions with multiple options for downloading the reaction diagrams and associated data, and a new display of our event hierarchy that will facilitate visual interpretation of pathway analysis results.

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          ChEBI in 2016: Improved services and an expanding collection of metabolites

          ChEBI is a database and ontology containing information about chemical entities of biological interest. It currently includes over 46 000 entries, each of which is classified within the ontology and assigned multiple annotations including (where relevant) a chemical structure, database cross-references, synonyms and literature citations. All content is freely available and can be accessed online at http://www.ebi.ac.uk/chebi. In this update paper, we describe recent improvements and additions to the ChEBI offering. We have substantially extended our collection of endogenous metabolites for several organisms including human, mouse, Escherichia coli and yeast. Our front-end has also been reworked and updated, improving the user experience, removing our dependency on Java applets in favour of embedded JavaScript components and moving from a monthly release update to a ‘live’ website. Programmatic access has been improved by the introduction of a library, libChEBI, in Java, Python and Matlab. Furthermore, we have added two new tools, namely an analysis tool, BiNChE, and a query tool for the ontology, OntoQuery.
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            The MetaCyc database of metabolic pathways and enzymes

            Abstract MetaCyc (https://MetaCyc.org) is a comprehensive reference database of metabolic pathways and enzymes from all domains of life. It contains more than 2570 pathways derived from >54 000 publications, making it the largest curated collection of metabolic pathways. The data in MetaCyc is strictly 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 the BioCyc (https://BioCyc.org) and other PGDB collections. This article provides an update on the developments in MetaCyc during the past two years, including the expansion of data and addition of new features.
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              The Reactome pathway knowledgebase.

              Reactome (http://www.reactome.org) is a manually curated open-source open-data resource of human pathways and reactions. The current version 46 describes 7088 human proteins (34% of the predicted human proteome), participating in 6744 reactions based on data extracted from 15 107 research publications with PubMed links. The Reactome Web site and analysis tool set have been completely redesigned to increase speed, flexibility and user friendliness. The data model has been extended to support annotation of disease processes due to infectious agents and to mutation.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2020
                06 November 2019
                06 November 2019
                : 48
                : D1
                : D498-D503
                Affiliations
                [1 ] Ontario Institute for Cancer Research , Toronto, ON M5G0A3, Canada
                [2 ] NYU School of Medicine , New York, NY 10016, USA
                [3 ] European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI) , Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
                [4 ] Open Targets , Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
                [5 ] College of Pharmacy and Health Sciences , St. John's University, Queens, NY 11439, USA
                [6 ] Oregon Health and Science University , Portland, OR 97239, USA
                [7 ] Department of Molecular Genetics, University of Toronto , Toronto, ON, M5S 1A1, Canada
                [8 ] National Center for Protein Sciences , Beijing, China
                Author notes
                To whom correspondence should be addressed. Tel: +1 212 263 5779; Fax: +1 212 263 8166; Email: deustp01@ 123456med.nyu.edu
                Correspondence may also be addressed to Henning Hermjakob. Tel: +44 1223 494 671; Email: hhe@ 123456ebi.ac.uk
                Correspondence may also be addressed to Lincoln Stein. Tel: +1 416 673 8514; Email: Lincoln.Stein@ 123456oicr.on.ca
                Correspondence may also be addressed to Guanming Wu. Tel: +1 503 494 4502; Fax: +1 503 346 6815; Email: wug@ 123456ohsu.edu

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

                Author information
                http://orcid.org/0000-0002-3288-8599
                http://orcid.org/0000-0001-8479-0262
                http://orcid.org/0000-0002-5494-626X
                Article
                gkz1031
                10.1093/nar/gkz1031
                7145712
                31691815
                1d7aeaad-125e-4b49-84dd-96f4441be049
                © The Author(s) 2019. 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 ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 October 2019
                : 18 October 2019
                : 27 September 2019
                Page count
                Pages: 6
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Award ID: U41HG003751
                Award ID: U54GM114833
                Funded by: European Bioinformatics Institute 10.13039/100012116
                Categories
                Database Issue

                Genetics
                Genetics

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