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HOUDINI: a new approach to computer-based structure generation.

A Korytko1, K-P Schulz, M S Madison

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

Journal of Chemical Information and Computer Sciences
|September 23, 2003
PubMed
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A novel convergent structure generation method and its HOUDINI program offer enhanced efficiency for creating molecular structures. This approach overcomes limitations of previous methods by integrating substructural information and prioritizing key features early in the process.

Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Existing structure generation methods have limitations.
  • Efficiently inferring and building molecular structures is crucial.

Purpose of the Study:

  • Introduce a new method: convergent structure generation.
  • Present the HOUDINI program implementing this method.
  • Address limitations of prior structure generation techniques.

Main Methods:

  • Developed convergent structure generation.
  • Integrated collective substructural information.
  • Utilized parallel atom groups for processing inferences.
  • Implemented managed procedure for early feature construction.

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Main Results:

  • The HOUDINI program efficiently processes substructural information.
  • Parallel atom groups enhance inference processing.
  • Managed procedure ensures early construction of essential structural features.

Conclusions:

  • Convergent structure generation offers an improved approach.
  • HOUDINI program provides an efficient tool for molecular structure generation.
  • The method addresses key limitations in the field.