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Related Experiment Videos

DISE: directed sphere exclusion.

Alberto Gobbi1, Man-Ling Lee

  • 1Anadys Pharmaceuticals Inc., San Diego, California 92121, USA.

Journal of Chemical Information and Computer Sciences
|January 28, 2003
PubMed
Summary
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Directed Sphere Exclusion (DISE) improves upon the Sphere Exclusion algorithm for selecting diverse chemical compounds. This new method ensures a more even distribution in chemical space and offers faster computation for large datasets.

Area of Science:

  • Computational chemistry
  • Cheminformatics
  • Data science

Background:

  • Sphere Exclusion algorithm is widely used for selecting diverse subsets from chemical libraries.
  • Its popularity stems from intuitive geometrical interpretation and good performance on large datasets.
  • The algorithm is applicable with any distance measure between chemical structures.

Purpose of the Study:

  • Introduce Directed Sphere Exclusion (DISE), a novel modification of the Sphere Exclusion algorithm.
  • Enhance the evenness of compound distribution within chemical space.
  • Improve computational efficiency for handling very large datasets.

Main Methods:

  • Modification of the existing Sphere Exclusion algorithm.
  • Implementation of a directed approach to compound selection.

Related Experiment Videos

  • Evaluation of distribution patterns and computational performance.

    • Main Results:

    • DISE retains the positive attributes of the original Sphere Exclusion algorithm.
    • DISE generates a more uniform distribution of selected compounds in chemical space.
    • DISE significantly reduces computational requirements, enabling application to massive datasets.

    Conclusions:

    • Directed Sphere Exclusion (DISE) offers an improved method for diverse subset selection in chemical libraries.
    • The algorithm provides better chemical space coverage and enhanced computational scalability.
    • DISE is a valuable tool for cheminformatics and computational chemistry applications.