{
    "bcoid": "GLY_000093",
    "title": "Human UniProtKB Xref BRENDA",
    "description": "The Human UniprotKB Xref BRENDA contains human [taxid:9606] UniProtKB canonical accessions cross-referenced ...",
    "filename": "human_protein_xref_brenda.csv",
    "filetype": "csv",
    "categories": {
        "species": "Homo sapiens",
        "molecule": "Protein",
        "tags": "Brenda",
        "file_type": "csv",
        "status": "Reviewed",
        "scope": "internal"
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                "P30613-1...",
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    },
    "readme": "Name\n   - Human UniProtKB Xref BRENDA\n\nVersion\n   - 1.11.2\n\nCreated on\n  - 2019-01-23T17:21:05.961796\n\nModified on\n   - 2020-04-10T11:32:22.994714\n\nCreated by\n   - Jeet Vora [jeetvora@gwu.edu], Rahi Navelkar [rsn13@gwu.edu], Robel Kahsay [rykahsay@gwu.edu], Xavier Holmes [xavierh@email.gwu.edu], Karina Martinez [karinamartinez@gwu.edu], Amanda Bell [amandab2140@gwu.edu], Jonathon Keeney [keeneyjg@gwu.edu], Millicent Quartey [mquartey@email.gwu.edu]\n\nAuthors\n   - Maria Martin [martin@ebi.ac.uk], Preethi Vasudev [pvasudev@ebi.ac.uk]\n\nChecksum\n   - \n\nUsability Domain\n   - The Human UniprotKB Xref BRENDA contains human [taxid:9606] UniProtKB canonical accessions cross-referenced to BRENDA database accessions/identifiers. The dataset is derived from 2019-09 UniProtKB release. If you use this dataset please provide proper attribution to EMBL-EBI-UniProtKB and GlyGen\n   - BRENDA is an information system representing one of the most comprehensive enzyme repositories. It is an electronic resource that comprises molecular and biochemical information on enzymes that have been classified by the IUBMB.\n\nDescription Domain\n   Keywords\n   - enzyme\n   - ec number\n   - BRENDA\n   - cross-reference\n\n   Pipeline Steps\n   - Step-1: The script loads the UniProtKB canonical accessions that are cross-referenced to BRENDA database accessions/identifiers from the triplestore containing triples from nt file and extracts the data as a csv dataset\n\nExecution Domain\n   Scripts   - https://github.com/GW-HIVE/glygen-backend-integration/blob/master/pipeline/integrator/make-protein-dataset.py\n\n\n   Software Prerequisites\n      Name: Python\n      Version: 2.7.5\n      URI: https://www.python.org/download/releases/2.7.5/\n\nI/O Domain\n   Input Subdomain\n      Name: uniprot-proteome-homo-sapiens.nt\n      URI: https:/data.glygen.org/ln2downloads/ebi/2021_04/uniprot-proteome-homo-sapiens.nt\n   Output Subdomain\n      Name: human_protein_xref_brenda.csv\n      URI: https:/data.glygen.org/ln2releases/data/v-1.12.3/reviewed/human_protein_xref_brenda.csv\n      Name: human_protein_xref_brenda.stat.csv\n      URI: https:/data.glygen.org/ln2releases/data/v-1.12.3/reviewed/human_protein_xref_brenda.stat.csv\n\nFields\n      Name: \"uniprotkb_canonical_ac\"\n     Description: \"\"\n      Unique Values: \"2470\"\n      Name: \"xref_key\"\n     Description: \"Source key associated to the  xref_id\"\n      Unique Values: \"1\"\n      Name: \"xref_id\"\n     Description: \"ID of the X-ref\"\n      Unique Values: \"1363\"\n      Name: \"xref_label\"\n     Description: \"Label/Name associated with x-ref\"\n      Unique Values: \"1\"",
    "downloadurl": "/ln2data/releases/data/v-1.12.3/reviewed/human_protein_xref_brenda.csv"
}
