This manuscript serves as a review of how the R language has been used in the last decade to address problems
related to medicinal chemistry design. This includes the use of the R language for chemoinformatics applications and interfaces,
as well as statistical modeling for ADMET and potency endpoints. Additionally, a few examples of R code are
provided to demonstrate the ability of this language to make available cutting-edge statistical analysis to the medicinal
chemistry design community.
Keywords: R, statistics, QSAR.
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