Load data from Sipes et al 2017.
This function returns an updated version of chem.physical_and_invitro.data that includes data predicted with Simulations Plus' ADMET predictor that was used in Sipes et al. 2017, included in admet.data.
load_sipes2017(overwrite = FALSE, target.env = .GlobalEnv)
overwrite |
Only matters if load.image=FALSE. If overwrite=TRUE then existing data in chem.physical_and_invitro.data will be replaced by any data/predictions in Sipes et al. (2017) that is for the same chemical and property. If overwrite=FALSE (DEFAULT) then new data for the same chemical and property are ignored. Funbound.plasma values of 0 (below limit of detection) are overwritten either way. |
target.env |
The environment where the new chem.physical_and_invitro.data is loaded. Defaults to global environment. |
data.frame |
An updated version of chem.physical_and_invitro.data. |
Robert Pearce and John Wambaugh
Sipes, Nisha S., et al. "An intuitive approach for predicting potential human health risk with the Tox21 10k library." Environmental Science & Technology 51.18 (2017): 10786-10796.
num.chems <- length(get_cheminfo()) load_sipes2017() #We should have the ADMet Predicted chemicals from Sipes et al. (2017), #this one is a good test since the logP is nearly 10 calc_css(chem.cas="26040-51-7") #Let's see how many chemicals we have now with the Sipes (2017) data loaded: length(get_cheminfo()) #Now let us reset reset_httk() # We should be back to our original number: num.chems == length(get_cheminfo())
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.