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httk (version 1.4)

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

Run this code
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)

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