Nothing
#R CMD BATCH --no-timing --no-restore --no-save 3comp_test.R 3comp_test.Rout
library(httk)
calc_analytic_css(chem.name="bisphenol a",model="3compartment")
calc_analytic_css(chem.cas="80-05-7",model="3compartment")
calc_analytic_css(parameters=parameterize_3comp(chem.cas="80-05-7"),model="3compartment")
calc_analytic_css(chem.name="bisphenol a",model="3compartment",tissue="liver")
calc_analytic_css(chem.name="bisphenol a",model="3compartment",tissue="brain")
head(solve_3comp(chem.name="bisphenol a"))
head(solve_3comp(chem.cas="80-05-7"))
head(solve_3comp(parameters=parameterize_3comp(chem.cas="80-05-7")))
#Test that the input daily.dose and doses.per.day are all that goes through,
#excluding any default dosing. We want any specified dosing to take the place
#of the default, not add to it.
#first get BW param for 3 comp model:
BW = parameterize_3comp(chem.name = 'bisphenol a')[['BW']]
#and get MW of bisphenol a for checking units
MW = get_physchem_param(param = "MW",chem.name = "bisphenol a")
#record intended default dosing in solve_model when no other dosing specified:
default_initial_dose_target_unscaled = 1 #mg/kg BW
initial_default_dose_target = default_initial_dose_target_unscaled*
BW/(MW*10^-3) #factor of 10^-3 to convert
#from g/mol to mg/umol, yielding a dose target in umol
head(initial_default_dose_target)
out_default_dosing = solve_3comp(chem.name = "bisphenol a")
#The following two initial dose metrics should be the same, and the same as
#the initial_default_dose_target in turn.
initial_default_dose = sum(out_default_dosing[1,])
head(initial_default_dose)
initial_default_dose_intestine = out_default_dosing[1,"Aintestine"]
head(initial_default_dose_intestine)
out_nondefault_dosing = solve_3comp(chem.name = "bisphenol a",
daily.dose =3,doses.per.day = 5)
#so, the dose target of what should appear at time zero in the intestine is:
initial_nondefault_dose_target = 3/5*BW/(MW*10^-3)
head(initial_nondefault_dose_target)
#the following two dose metrics should also be the same:
initial_nondefault_dose = sum(out_nondefault_dosing[2,]) #Use second row because
#it looks like eventdata only gets registered in the output after time zero.
head(initial_nondefault_dose)
initial_nondefault_dose_intestine = out_nondefault_dosing[2,"Aintestine"]
head(initial_nondefault_dose_intestine)
#parameterize_3comp(chem.name="Aminopterin")[sort(names(parameterize_3comp(chem.name="Aminopterin")))]
script.args <- commandArgs(TRUE)
if (length(script.args) > 0)
{
if (any(script.args=="mctest"))
{
set.seed(12345)
calc_mc_css(chem.name="bisphenol a",model="3compartment")
set.seed(12345)
calc_mc_css(chem.cas="80-05-7",model="3compartment")
set.seed(12345)
calc_mc_css(parameters=parameterize_3comp(chem.cas="80-05-7"),model="3compartment")
}
if (any(script.args=="wetmoretest"))
{
wetmore.chems <- subset(chem.physical_and_invitro.data,
regexpr("Wetmore",Human.Clint.Reference)!=-1 &
regexpr("Wetmore",Human.Funbound.plasma.Reference)!=-1)
Css.table <- data.frame()
for (this.cas in sort(get_lit_cheminfo()))
if (this.cas %in% get_cheminfo(model="pbtk") &
this.cas %in% wetmore.chems$CAS)
{
Css.table[this.cas,"Css.lit"] <- get_lit_css(chem.cas=this.cas,
output.units="uM",
which.quantile=0.5)
Css.table[this.cas,"Css.calc"] <- calc_analytic_css(chem.cas=this.cas,
model="3compartment")
}
cat(lm(log(Css.lit)~log(Css.calc),data=Css.table)$coefficients)
#library(ggplot2)
#test.fig <- ggplot(Css.table,aes(x=Css.calc,y=Css.lit)) +
# geom_point(size=3)+
# scale_y_log10()+
# scale_x_log10()+
# ylab(expression(paste(C[aa]," Literature (uM)"))) +
# xlab(expression(paste(C[aa]," 3compartment model (uM)"))) +
# geom_abline(intercept = 0, slope = 1,linetype="dashed", colour="Blue")
#
#dev.new()
#print(test.fig)
}
}
quit("no")
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