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modeldata (version 1.3.0)

steroidogenic_toxicity: Predicting steroidogenic toxicity with assay data

Description

A set of in vitro assays are used to quantify the risk of reproductive toxicity via the disruption of steroidogenic pathways.

Arguments

Value

A tibble with columns

  • class: factor(levels: toxic and nontoxic)

  • cyp_11a1: numeric

  • cyp_11b1: numeric

  • cyp_11b2: numeric

  • cyp_17a1: numeric

  • cyp_19a1: numeric

  • cyp_21a1: numeric

  • hsd3b2: numeric

  • star: numeric

  • progesterone: numeric

  • testosterone: numeric

  • dhea: numeric

  • cortisol: numeric

Details

H295R cells were used to measure the effect with two sets of assay results. The first includes a set of protein measurements on: cytochrome P450 enzymes ("cyp"s), STAR, and 3BHSD2. The second include hormone measurements for DHEA, progesterone, testosterone, and cortisol.

Columns:

  • class: factor (levels: 'toxic' and 'nontoxic')

  • cyp_11a1: numeric

  • cyp_11b1: numeric

  • cyp_11b2: numeric

  • cyp_17a1: numeric

  • cyp_19a1: numeric

  • cyp_21a1: numeric

  • hsd3b2: numeric

  • star: numeric

  • progesterone: numeric

  • testosterone: numeric

  • dhea: numeric

  • cortisol: numeric

Examples

Run this code
data(steroidogenic_toxicity)
str(steroidogenic_toxicity)

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