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Summary statement for mechanistic-static modeling of CYP modulation

Usage

mech_stat_cyp_risk_summary(
  perp,
  cyp_inh,
  cyp_ind,
  cyp_tdi = NULL,
  d = 1,
  include_induction = TRUE,
  substr = cyp_reference_substrates,
  cyp_kdeg = cyp_turnover
)

Arguments

perp

The perpetrator object.

cyp_inh

CYP inhibition data as data frame. The following fields are expected:

  • 'name' The name of the perpetrator compound.

  • 'cyp' The CYP enzyme as (upper case) character.

  • 'ki' The \(K_i\) in \(\mu M\) as numeric.

  • 'source' Optional source information as character.

cyp_ind

The CYP induction data as data frame. The following fields are expected:

  • 'name' The name of the perpetrator compound as character.

  • 'cyp' The CYP enzyme as (upper case) character.

  • 'emax' The \(E_{max}\), i.e., the maximum induction effect determined in vitro as numeric.

  • 'ec50' The \(EC_{50}\) in \(\mu M\) as numeric.

  • 'maxc' The maximal concentration in \(\mu M\) tested in the in vitro assay as numeric.

  • 'source' Optional source information as character.

cyp_tdi

The CYP TDI data as data frame. The following fields are expected:

  • 'name' The perpetrator compound name as character.

  • 'cyp' The CYP enzyme as character.

  • 'ki' The \(K_I\) in \(\mu M\) as numeric.

  • 'kinact' The \(k_{inact}\) in 1/h as numeric.

  • 'source' Optional source information as character,

d

Scaling factor, defaults to 1.

include_induction

Switch to define whether induction effects should be included in the calculation (C-terms as per the FDA guideline)

substr

The CYP probe substrates to be used as data frame, defaults to cyp_reference_substrates. The data frame is expected to have the following fields:

  • 'cyp' The CYP enzyme as (upper case) character.

  • 'substrate' The substrate name as character.

  • 'fgut' The fraction of the drug escaping gut metabolism.

  • 'fm' The fraction of the drug that undergoes hepatic metabolism.

  • 'fmcyp' The fraction metabolized by the respective CYP enzyme.

cyp_kdeg

The CYP turnover data as data frame. Defaults to the built-in reference data, cyp_turnover.

Value

Markdown-formatted text output.

Examples

mech_stat_cyp_risk_summary(examplinib_parent,
  examplinib_cyp_inhibition_data, examplinib_cyp_induction_data)
#> [1] "* based on mechanistic-static modeling (S-warfarin and omeprazole), examplinib has a clinical risk for inhibition of CYP2C9 and CYP2C19"
#> [2] "* based on mechanistic-static modeling (midazolam), examplinib has a clinical risk for induction of CYP3A4"                             
mech_stat_cyp_risk_summary(examplinib_metabolite,
  examplinib_cyp_inhibition_data, examplinib_cyp_induction_data)
#> NULL
mech_stat_cyp_risk_summary(examplinib_compounds,
  examplinib_cyp_inhibition_data, examplinib_cyp_induction_data)
#> [1] "* based on mechanistic-static modeling (S-warfarin and omeprazole), examplinib has a clinical risk for inhibition of CYP2C9 and CYP2C19"
#> [2] "* based on mechanistic-static modeling (midazolam), examplinib has a clinical risk for induction of CYP3A4"