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Related Experiment Videos

Applications of a HOUDINI-based structure elucidation system.

K-P Schulz1, A Korytko, M E Munk

  • 1Department of Chemistry and Biochemistry, Arizona State University, Tempe, Arizona 85287, USA.

Journal of Chemical Information and Computer Sciences
|September 23, 2003
PubMed
Summary

The SESAMI program was enhanced with HOUDINI, a new convergent structure generation method. This improved the analysis of complex carbon compounds, offering faster processing and better handling of structural ambiguities.

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Area of Science:

  • Chemistry
  • Computational Chemistry
  • Structural Elucidation

Background:

  • The SESAMI program aids in determining complex carbon compound structures.
  • Existing structure reduction-based generators (COCOA) faced limitations with higher molecular weights.

Purpose of the Study:

  • To develop an improved structure generator for SESAMI.
  • To address limitations in analyzing complex, high-molecular-weight compounds.

Main Methods:

  • Developed HOUDINI, a novel convergent structure generation approach.
  • Compared SESAMI performance using COCOA-based versus HOUDINI-based generators.
  • Utilized a test set of complex, naturally occurring compounds.

Main Results:

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  • HOUDINI-based SESAMI demonstrated faster execution times.
  • The HOUDINI approach showed more efficient processing of ambiguous structural data.
  • Improved performance in elucidating complex structures was observed.

    • Conclusions:

    • Convergent structure generation with HOUDINI enhances SESAMI's capabilities.
    • The new method is more efficient for analyzing complex organic compounds.
    • HOUDINI represents a significant advancement in computational structure elucidation.