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Related Experiment Videos

TIN-X: target importance and novelty explorer.

Daniel C Cannon1, Jeremy J Yang1, Stephen L Mathias1

  • 1Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.

Bioinformatics (Oxford, England)
|April 12, 2017
PubMed
Summary

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We created TIN-X (Target Importance and Novelty eXplorer), a tool to visualize links between diseases and proteins from scientific literature. It aids researchers in exploring potential drug targets by assessing their importance and novelty.

Area of Science:

  • Biomedical Informatics
  • Drug Discovery
  • Bioinformatics

Background:

  • The growing volume of scientific literature necessitates advanced tools for evidence exploration.
  • Identifying associations between diseases and proteins is crucial for drug target discovery.

Purpose of the Study:

  • To develop TIN-X, a text mining tool for visualizing protein-disease associations.
  • To aid researchers in exploring potential drug targets based on scientific literature.

Main Methods:

  • Text mining of scientific literature to extract protein-disease relationships.
  • Development of the Target Importance and Novelty eXplorer (TIN-X) visualization tool.
  • Implementation supporting G-protein coupled receptors, kinases, ion channels, and nuclear receptors.

Related Experiment Videos

Main Results:

  • TIN-X visualizes associations between proteins and diseases using processed text mining data.
  • The tool enables navigation through proteins and diseases via ontology classes.
  • TIN-X introduces two novel bibliometric statistics: Importance and Novelty.

Conclusions:

  • TIN-X facilitates the visual exploration of evidence linking diseases and proteins.
  • The tool enhances the identification and assessment of potential drug targets.