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CancerResource: a comprehensive database of cancer-relevant proteins and compound interactions supported by

Jessica Ahmed1, Thomas Meinel, Mathias Dunkel

  • 1Charité - University Medicine Berlin, Institute for Physiology, Structural Bioinformatics Group, Thielallee 71, 14195 Berlin, Germany.

Nucleic Acids Research
|October 19, 2010
PubMed

Insights

CancerResource integrates scattered compound-target interaction data from literature and databases. This novel resource provides a comprehensive overview for cancer research and personalized medicine.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Bioinformatics

Background:

  • Extensive data on cancer-relevant compound-target interactions exist in scientific literature and various databases.
  • Existing repositories show limited overlap, hindering comprehensive data access for cancer research.
  • Literature mining efforts for cancer-annotated entries are fragmented across multiple sources.

Purpose of the Study:

  • To develop CancerResource, a unified database integrating cancer-relevant compound-target relationships.
  • To consolidate information from literature mining and external databases.
  • To provide essential experimental and supporting data on genes and cellular effects.

Main Methods:

  • Integrated data from in-house literature mining and external repositories (CTD, TTD, PharmGKB, DrugBank).
  • Included experimental and supporting information on genes and cellular effects.
  • Established novel information connections to facilitate data overview.

Main Results:

  • CancerResource offers a comprehensive integration of cancer-related compound-target interactions.
  • The database consolidates fragmented information, addressing the small overlap between existing resources.
  • Novel connections provide enhanced insights into compound-target relationships.

Conclusions:

  • CancerResource provides a valuable, integrated data repository for cancer research.
  • The database supports research in natural sciences and personalized medicine concerning compound-target interactions.
  • Facilitates a better overview of existing and supporting information for cancer drug discovery and development.

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