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A C library for retrieving specific reactions from the BioModels database.

M L Neal1, M Galdzicki, J T Gallimore

  • 1Department of Bioengineering, University of Washington, Seattle, WA 98195, USA and Department of Computer Science, Wofford College, Spartanburg, SC 29303, USA.

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|October 1, 2013
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Summary
This summary is machine-generated.

libSBMLReactionFinder is a new C library that helps systems biologists find specific biochemical reactions in the BioModels database. This tool accelerates modeling by enabling easy retrieval of reactions using text searches.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Biochemistry

Background:

  • The BioModels database contains curated Systems Biology Markup Language (SBML) models.
  • Accessing specific biochemical reactions within these models can be challenging for researchers.
  • Efficient retrieval of reaction data is crucial for quantitative modeling and hypothesis testing.

Purpose of the Study:

  • To develop a C library, libSBMLReactionFinder, for efficiently retrieving biochemical reactions from the BioModels database.
  • To enable users to find reactions using simple string searches based on semantic annotations.
  • To accelerate quantitative modeling efforts by facilitating the reuse of existing reaction representations.

Main Methods:

  • Developed a C library, libSBMLReactionFinder.
  • Leveraged semantic annotations within the BioModels database.
  • Implemented a search functionality based on human-readable descriptions associated with reactions.

Main Results:

  • libSBMLReactionFinder allows retrieval of specific biochemical reactions from SBML models.
  • Semantic annotations are used to link reactions to descriptive text.
  • Reactions are made searchable via simple string queries.

Conclusions:

  • libSBMLReactionFinder provides a valuable tool for quantitative modelers.
  • The library simplifies and accelerates the process of finding and reusing biochemical reactions.
  • This facilitates the advancement of systems biology research through efficient model component reuse.