Abstract
Motivation: Software applications for structural similarity searching and clustering of small molecules play an important role in drug discovery and chemical genomics. Here, we present the first open-source compound mining framework for the popularstatistical programming environment R. The integration with a powerful statistical environment maximizes the flexibility, expandability and programmability of the provided analysis functions. Results: We discuss the algorithms and compound mining utilities provided by the R package ChemmineR. It contains functions for structural similarity searching, clustering of compound libraries with a wide spectrum of classification algorithms and various utilities for managing complex compound data. It also offers a wide range of visualization functions for compound clusters and chemical structures. The package is well integrated with the online ChemMine environment and allows bidirectional communications between the two services. © 2008 The Author(s).
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CITATION STYLE
Cao, Y., Charisi, A., Cheng, L. C., Jiang, T., & Girke, T. (2008). ChemmineR: A compound mining framework for R. Bioinformatics, 24(15), 1733–1734. https://doi.org/10.1093/bioinformatics/btn307
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