Description Usage Arguments Value Author(s) Examples
This function adds chemical-specific information to the table chem.physical_and_invitro.data. This table is queried by the model parameterization functions when attempting to parameterize a model, so adding sufficient data to this table allows additional chemicals to be modeled.
1 2 | add_chemtable(new.table, data.list, current.table=NULL,
reference=NULL,species=NULL, overwrite=F)
|
new.table |
Object of class data.frame containing one row per chemical, with each chemical minimally by described by a CAS number. |
data.list |
This list identifies which properties are to be read from the table. Each item in the list should point to a column in the table new.table. Valid names in the list are: 'Compound', 'CAS', 'DSSTox.GSID' 'SMILES.desalt', 'Reference', 'Species', 'MW', 'logP', 'pKa_Donor', 'pKa_Accept', 'logMA', 'Clint', 'Clint.pValue', 'Funbound.plasma', 'Fgutabs', 'Rblood2plasma'. Note that Rblood2plasma (Ratio blood to plasma) is currently not used. |
current.table |
This is the table to which data is being added. |
reference |
This is the reference for the data in the new table. This may be omitted if a column in data.list gives the reference value for each chemical. |
species |
This is the species for the data in the new table. This may be omitted if a column in data.list gives the species value for each chemical or if the data is not species-specific (e.g., MW). |
overwrite |
If overwrite=TRUE then data in current.table will be replaced by any data in new.table that is for the same chemical and property. If overwrite=FALSE (DEFAULT) then new data for the same chemical and property is ignored. |
data.frame |
A new data.frame containing the data in current.table augmented by new.table |
John Wambaugh
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | my.new.data <- as.data.frame(c("A","B","C"),stringsAsFactors=FALSE)
my.new.data <- cbind(my.new.data,as.data.frame(c("111-11-5","222-22-0","333-33-5"),
stringsAsFactors=FALSE))
my.new.data <- cbind(my.new.data,as.data.frame(c(200,200,200)))
my.new.data <- cbind(my.new.data,as.data.frame(c(2,3,4)))
my.new.data <- cbind(my.new.data,as.data.frame(c(0.01,0.02,0.3)))
my.new.data <- cbind(my.new.data,as.data.frame(c(0,10,100)))
colnames(my.new.data) <- c("Name","CASRN","MW","LogP","Fup","CLint")
chem.physical_and_invitro.data <- add_chemtable(my.new.data,
current.table=chem.physical_and_invitro.data,
data.list=list(
Compound="Name",
CAS="CASRN",
MW="MW",
logP="LogP",
Funbound.plasma="Fup",
Clint="CLint"),
species="Human",
reference="MyPaper 2015")
parameterize_steadystate(chem.name="C")
calc_mc_oral_equiv(10,chem.name="B")
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