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ChemmineR: a compound mining framework for R.

Yiqun Cao1, Anna Charisi, Li-Chang Cheng

  • 1Department of Computer Science and Engineering, University of California, Riverside, California, USA.

Bioinformatics (Oxford, England)
|July 4, 2008
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Summary
This summary is machine-generated.

This study introduces ChemmineR, an open-source R package for compound mining in drug discovery. It provides tools for structural similarity searching and clustering of small molecules, enhancing chemical genomics research.

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Area of Science:

  • Computational Chemistry
  • Cheminformatics
  • Drug Discovery

Background:

  • Structural similarity searching and clustering of small molecules are crucial for drug discovery and chemical genomics.
  • Existing software solutions may lack flexibility, expandability, and programmability.
  • There is a need for open-source tools integrated with powerful statistical environments.

Purpose of the Study:

  • To present the first open-source compound mining framework for the R statistical programming environment.
  • To provide flexible, expandable, and programmable analysis functions for small molecule data.
  • To facilitate structural similarity searching and clustering of compound libraries.

Main Methods:

  • Development of the R package ChemmineR.
  • Implementation of algorithms for structural similarity searching.
  • Integration of various classification algorithms for clustering compound libraries.
  • Inclusion of utilities for managing complex compound data and visualizing results.
  • Establishment of bidirectional communication with the online ChemMine environment.

Main Results:

  • ChemmineR offers functions for structural similarity searching and clustering of compound libraries.
  • The package supports a wide spectrum of classification algorithms for data analysis.
  • Comprehensive utilities are provided for managing complex compound data.
  • Extensive visualization functions for compound clusters and chemical structures are available.
  • Seamless integration with the online ChemMine environment enables data exchange.

Conclusions:

  • ChemmineR is a valuable open-source tool for computational chemistry and cheminformatics.
  • The R package enhances drug discovery and chemical genomics research through flexible compound mining.
  • The integration with R maximizes analytical capabilities and programmability.