httk (version 1.8)

lump_tissues: Lump tissue parameters

Description

This function takes the parameters from predict_partitioning_schmitt and lumps the partition coefficients along with the volumes and flows based on the given tissue list. It is useful in Monte Carlo simulation of individual partition coefficients when calculating the rest of body partition coefficient.

Usage

lump_tissues(Ktissue2pu.in, tissuelist=NULL, species="Human")

Arguments

Ktissue2pu.in

List of partition coefficients from predict_partitioning_schmitt.

tissuelist

Specifies compartment names and tissues groupings. Remaining tissues in tissue.data are lumped in the rest of the body.

species

Species desired (either "Rat", "Rabbit", "Dog", "Mouse", or default "Human").

Value

Krbc2pu

Ratio of concentration of chemical in red blood cells to unbound concentration in plasma.

Krest2pu

Ratio of concentration of chemical in rest of body tissue to unbound concentration in plasma.

Vrestc

Volume of the rest of the body per kg body weight, L/kg BW.

Vliverc

Volume of the liver per kg body weight, L/kg BW.

Qtotal.liverf

Fraction of cardiac output flowing to the gut and liver, i.e. out of the liver.

Qgutf

Fraction of cardiac output flowing to the gut.

Qkidneyf

Fraction of cardiac output flowing to the kidneys.

Examples

# NOT RUN {
pcs <- predict_partitioning_schmitt(chem.name='bisphenola')
tissuelist <- list(liver=c("liver"),kidney=c("kidney"),lung=c("lung"),gut=c("gut")
,muscle.bone=c('muscle','bone'))
lump_tissues(pcs,tissuelist=tissuelist)
# }