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Related Experiment Videos

Cheminformatics analysis and learning in a data pipelining environment.

Moises Hassan1, Robert D Brown, Shikha Varma-O'brien

  • 1SciTegic, Inc., 10188 Telesis Court, Suite 100, San Diego, CA, 92121, USA, mhassan@scitegic.com.

Molecular Diversity
|October 13, 2006
PubMed
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Workflow technology, like data pipelining, organizes scientific data. SciTegic

Area of Science:

  • Cheminformatics
  • Data Science
  • Drug Discovery

Background:

  • Workflow technology is increasingly used for organizing and analyzing scientific discovery data.
  • SciTegic's Pipeline Pilot is a chemically intelligent workflow tool.
  • It enables scientists to build and run workflows using cheminformatics algorithms.

Purpose of the Study:

  • To review SciTegic's methodology for key cheminformatics tasks.
  • To demonstrate the application of these methods to discovery data analysis.
  • To showcase the utility of workflow technology in scientific research.

Main Methods:

  • Review of SciTegic's algorithms for molecular fingerprints, similarity, and clustering.
  • Examination of maximal common subgraph search and Bayesian learning techniques.

Related Experiment Videos

  • Application of these methods through case studies on discovery data.

    • Main Results:

    • Demonstrated suitability of methods for analyzing chemical series and high throughput screening data.
    • Successful application in building and applying predictive models for screening data.
    • Effective identification of molecules for lead optimization and structural family organization.

    Conclusions:

    • Workflow technology, exemplified by Pipeline Pilot, is highly effective for scientific data analysis.
    • The reviewed cheminformatics methods are versatile for various drug discovery tasks.
    • This approach facilitates efficient organization, analysis, and interpretation of complex datasets.