TIN-X: target importance and novelty explorer

Research output: Contribution to journalJournal articleResearchpeer-review


  • Daniel C Cannon
  • Jeremy J Yang
  • Stephen L Mathias
  • Oleg Ursu
  • Subramani Mani
  • Anna Waller
  • Stephan C Schürer
  • Jensen, Lars Juhl
  • Larry A Sklar
  • Cristian G Bologa
  • Tudor I Oprea

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.

Original languageEnglish
Issue number16
Pages (from-to)2601-2603
Number of pages3
Publication statusPublished - 15 Aug 2017

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ID: 184321313