Pure.
Value
A tibble of drug, drug_id, drug_type, max_phase, diseases,
disease_ids, and source_url. NULL when the target has no known drugs.
Every disease, not just the first
A drug row carries the whole list of diseases it has been tried against, and
the first entry is often the least useful one. In the stored BRAF response,
BELVARAFENIB lists five, and the first has no mapped disease at all. So the
diseases arrive as list columns rather than as one picked value.
diseases prefers the mapped disease name and falls back to
diseaseFromSource, which is the label the trial registry used. disease_ids
is NA in the positions Open Targets could not map.
max_phase is the raw maxClinicalStage, for example "PHASE_2". Turning
that into "Phase 2" is presentation and belongs to whatever is presenting it.
Examples
body <- list(data = list(target = list(
drugAndClinicalCandidates = list(count = 1, rows = list(
list(
maxClinicalStage = "PHASE_2",
drug = list(id = "CHEMBL1", name = "DRUGX", drugType = "Small molecule"),
diseases = list(list(
diseaseFromSource = "melanoma",
disease = list(id = "MONDO_0005105", name = "melanoma")
))
)
))
)))
opentargets_parse_drugs(body)
#> # A tibble: 1 × 7
#> drug drug_id drug_type max_phase diseases disease_ids source_url
#> <chr> <chr> <chr> <chr> <list> <list> <chr>
#> 1 DRUGX CHEMBL1 Small molecule PHASE_2 <chr [1]> <chr [1]> https://platform…