TIN-X: Target Importance and Novelty Explorer

Bioinformatics. 2017 Aug 15;33(16):2601-2603. doi: 10.1093/bioinformatics/btx200.

Abstract

Motivation: The increasing amount of peer-reviewed manuscripts requires the development of specific mining tools to facilitate the visual exploration of evidence linking diseases and proteins.

Results: We developed TIN-X, the Target Importance and Novelty eXplorer, to visualize the association between proteins and diseases, based on text mining data processed from scientific literature. In the current implementation, TIN-X supports exploration of data for G-protein coupled receptors, kinases, ion channels, and nuclear receptors. TIN-X supports browsing and navigating across proteins and diseases based on ontology classes, and displays a scatter plot with two proposed new bibliometric statistics: Importance and Novelty.

Availability and implementation: http://www.newdrugtargets.org.

Contact: cbologa@salud.unm.edu.

MeSH terms

  • Biological Ontologies
  • Computer Graphics
  • Data Mining / methods*
  • Disease / etiology*
  • Humans
  • Ion Channels / metabolism
  • Phosphotransferases / metabolism
  • Receptors, Cytoplasmic and Nuclear / metabolism
  • Receptors, G-Protein-Coupled / metabolism
  • Software*

Substances

  • Ion Channels
  • Receptors, Cytoplasmic and Nuclear
  • Receptors, G-Protein-Coupled
  • Phosphotransferases