Bioc2026 Registration Open!

fmcsR

Mismatch Tolerant Maximum Common Substructure Searching

Bioconductor version: 3.24 · Package version: 1.55.0

The fmcsR package introduces an efficient maximum common substructure (MCS) algorithms combined with a novel matching strategy that allows for atom and/or bond mismatches in the substructures shared among two small molecules. The resulting flexible MCSs (FMCSs) are often larger than strict MCSs, resulting in the identification of more common features in their source structures, as well as a higher sensitivity in finding compounds with weak structural similarities. The fmcsR package provides several utilities to use the FMCS algorithm for pairwise compound comparisons, structure similarity searching and clustering.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("fmcsR")

Details

MaintainerThomas Girke <thomas.girke@ucr.edu>
AuthorYan Wang, Tyler Backman, Kevin Horan, Thomas Girke
LicenseArtistic-2.0
URLhttps://github.com/girke-lab/fmcsR
Downloads rank763
Source branchdevel
biocViewsBiomedicalInformatics, CellBasedAssays, Cheminformatics, Clustering, DataImport, Infrastructure, Metabolomics, MicrotitrePlateAssay, Pharmacogenetics, Pharmacogenomics, Proteomics, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagefmcsR_1.55.0.tar.gz
Windows binary (x86_64)fmcsR_1.55.0.zip
macOS binary (arm64)fmcsR_1.55.0.tgz
macOS binary (x86_64)fmcsR_1.55.0.tgz
Dependencies

Depends: R (>= 2.10.0), ChemmineR, methods

Imports: RUnit, methods, ChemmineR, BiocGenerics, parallel

Suggests: BiocStyle, knitr, knitcitations, knitrBootstrap, rmarkdown, codetools

Reverse dependencies

Imports Me (1): chemodiv

Suggests Me (2): ChemmineR, xnet