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  "Title": "Drugs Databases Parser",
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  "Description": "This tool is for parsing public drug databases such as\n'DrugBank' XML database <https://go.drugbank.com/>. The parsed\ndata are then returned in a proper 'R' object called\n'dvobject'.",
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    "drug_node_options",
    "get_genes_for_phenotype",
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    "parseTWOSIDES",
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    "search_phenotypes",
    "show_dvobject_metadata",
    "subset_drugbank_dvobject",
    "subset_onsides_dvobject"
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    {
      "page": "add_database_info",
      "title": "add_database_info Assign passed databases db metadata to passed dvobject",
      "concept": [
        "utility"
      ],
      "topics": [
        "add_database_info"
      ]
    },
    {
      "page": "cett_nodes_options",
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      "concept": [
        "parsers"
      ],
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        "cett_nodes_options"
      ]
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    {
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        "parsers"
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        "drug_node_options"
      ]
    },
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      "concept": [
        "utility"
      ],
      "topics": [
        "get_genes_for_phenotype"
      ]
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    {
      "page": "merge_drugbank_hpo",
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        "mergers"
      ],
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        "merge_drugbank_hpo"
      ]
    },
    {
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      "title": "Merge DrugBank and OnSIDES Database Objects",
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    {
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      "title": "Merge a DrugBank dvobject with a TWOSIDES dvobject",
      "concept": [
        "mergers"
      ],
      "topics": [
        "merge_drugbank_twosides"
      ]
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    {
      "page": "parseDrugBank",
      "title": "parseDrugBank",
      "concept": [
        "parsers"
      ],
      "topics": [
        "parseDrugBank"
      ]
    },
    {
      "page": "parseHPO",
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      "concept": [
        "parsers"
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      "topics": [
        "parseHPO"
      ]
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        "parsers"
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      "topics": [
        "parseOnSIDES"
      ]
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      "concept": [
        "parsers"
      ],
      "topics": [
        "parseTWOSIDES"
      ]
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        "parsers"
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      "topics": [
        "references_node_options"
      ]
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        "3. Keep the informative phenotypes",
        "4. Group phenotypes into clinical domains",
        "5. Interpret the phenotypes using the direction of drug action",
        "Bivalirudin and F2: phenotypes predict the main adverse effect",
        "Leuprolide and the GnRH axis: phenotypes predict the therapeutic effect",
        "Calcitriol and VDR: the direction is reversed",
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        "Why the drug link matters",
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        "4. Find drugs that share lepirudin's mechanism",
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        "1.3 Load TWOSIDES (Drug Interactions)",
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        "3.1 Extract Baseline Adverse Events (OnSIDES)",
        "4. Single Drug Analysis: Calcitriol (DB00136)",
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