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CART-a chemical annotation retrieval toolkit.

Samy Deghou1, Georg Zeller1, Murat Iskar1

  • 1Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.

Bioinformatics (Oxford, England)
|June 4, 2016
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Summary

Computational systems pharmacology is enhanced by the Chemical Annotation Retrieval Toolkit (CART). CART resolves chemical name ambiguity, enabling unified analysis of bioactivity data from diverse databases.

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Area of Science:

  • Computational systems pharmacology
  • Cheminformatics
  • Bioinformatics

Background:

  • Public repositories contain rapidly growing bioactivity data for drug-like chemicals.
  • Integrative analysis is hindered by ambiguous chemical identifiers and lack of cross-database references.

Purpose of the Study:

  • To develop a toolkit for resolving chemical name ambiguity and facilitating bioactivity data integration.
  • To enable researchers to perform comprehensive analysis of chemical bioactivity data.

Main Methods:

  • Developed the Chemical Annotation Retrieval Toolkit (CART).
  • CART matches chemical names to a unified reference space for unambiguous identification.
  • Retrieves and analyzes bioactivity annotations from multiple databases.
  • Presents enriched annotations via tabular and network visualizations.

Main Results:

  • CART assigns unambiguous chemical identifiers, unifying disparate data.
  • Facilitates retrieval of bioactivity annotations across various chemical effects.
  • Identifies enriched annotations within input chemical sets.
  • Provides interactive network visualizations for data exploration.

Conclusions:

  • CART overcomes challenges in chemical data integration for computational pharmacology.
  • Enables efficient and comprehensive analysis of chemical bioactivity data.
  • Supports research in drug discovery and systems pharmacology.