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.
|Author||Yan Wang, Tyler Backman, Kevin Horan, Thomas Girke|
|Bioconductor views||BiomedicalInformatics CellBasedAssays Cheminformatics Clustering DataImport Infrastructure MicrotitrePlateAssay Pharmacogenetics Pharmacogenomics Proteomics Visualization|
|Maintainer||Thomas Girke <firstname.lastname@example.org>|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.