File: BloodBrain.Rd

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r-cran-caret 7.0-1%2Bdfsg-1
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/caret-package.R
\docType{data}
\name{BloodBrain}
\alias{BloodBrain}
\alias{bbbDescr}
\alias{logBBB}
\title{Blood Brain Barrier Data}
\source{
Mente, S.R. and Lombardo, F. (2005). A recursive-partitioning model
for blood-brain barrier permeation, \emph{Journal of Computer-Aided Molecular Design},
Vol. 19, pg. 465-481.
}
\value{
\item{bbbDescr}{data frame of chemical descriptors} \item{logBBB}{vector of assay results}
}
\description{
Mente and Lombardo (2005) develop models to predict the log
of the ratio of the concentration of a compound in the brain
and the concentration in blood. For each compound, they computed
three sets of molecular descriptors: MOE 2D, rule-of-five and
Charge Polar Surface Area (CPSA). In all, 134 descriptors were
calculated. Included in this package are 208 non-proprietary
literature compounds. The vector \code{logBBB} contains the concentration
ratio and the data fame \code{bbbDescr} contains the descriptor values.
}
\keyword{datasets}