Package: LipinskiFilters 1.0.1

Oche Ambrose George

LipinskiFilters: Computes and Visualize Lipinski's Parameters

This computes Lipinski Rule of Five parameters and offers visualization for drug discovery. It analyzes molecular properties like molecular weight, hydrogen bond donors, acceptors, and ALogP, providing histograms and pass/fail status plots for efficient compound evaluation, aiding in drug development.

Authors:Oche Ambrose George [aut, cre]

LipinskiFilters_1.0.1.tar.gz
LipinskiFilters_1.0.1.tar.gz(r-4.7-any)LipinskiFilters_1.0.1.tar.gz(r-4.6-any)
LipinskiFilters_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
LipinskiFilters/json (API)

# Install 'LipinskiFilters' in R:
install.packages('LipinskiFilters', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openjdk

2.00 score 118 downloads 5 exports 30 dependencies

Last updated from:6ad4489c6d. Checks:2 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE134
source / vignettesOK186
linux-release-x86_64NOTE132
wasm-releaseOK122

Exports:assess_drug_likenesscompute_propertiescreate_lipinski_plotspredict_oral_bioavailabilitytest_lipinski_rule

Dependencies:clicowplotcpp11evaluatefarverfingerprintggplot2gluegtablehighrisobanditeratorsitertoolsknitrlabelinglifecyclepngR6rcdkrcdklibsRColorBrewerrJavarlangS7scalesvctrsviridisLitewithrxfunyaml

Lipinski Evaluation of Drug Molecules

Rendered fromLipinski_Evaluation_of_Drug_Molecules.Rmdusingknitr::rmarkdownon Jun 04 2026.

Last update: 2024-03-12
Started: 2024-03-12