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TIN-X: Target Importance and Novelty Explorer

Overview
Journal Bioinformatics
Specialty Biology
Date 2017 Apr 12
PMID 28398460
Citations 16
Authors
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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.

Citing Articles

TIN-X version 3: update with expanded dataset and modernized architecture for enhanced illumination of understudied targets.

Metzger V, Cannon D, Yang J, Mathias S, Bologa C, Waller A PeerJ. 2024; 12:e17470.

PMID: 38948230 PMC: 11212617. DOI: 10.7717/peerj.17470.


A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models.

Ren F, Aliper A, Chen J, Zhao H, Rao S, Kuppe C Nat Biotechnol. 2024; 43(1):63-75.

PMID: 38459338 PMC: 11738990. DOI: 10.1038/s41587-024-02143-0.


Overview of the Knowledge Management Center for Illuminating the Druggable Genome.

Oprea T, Bologa C, Holmes J, Mathias S, Metzger V, Waller A Drug Discov Today. 2024; 29(3):103882.

PMID: 38218214 PMC: 10939799. DOI: 10.1016/j.drudis.2024.103882.


Illuminating the druggable genome: Pathways to progress.

Sharma K, Colvis C, Rodgers G, Sheeley D Drug Discov Today. 2023; 29(3):103805.

PMID: 37890715 PMC: 10939933. DOI: 10.1016/j.drudis.2023.103805.


Pharos 2023: an integrated resource for the understudied human proteome.

Kelleher K, Sheils T, Mathias S, Yang J, Metzger V, Siramshetty V Nucleic Acids Res. 2023; 51(D1):D1405-D1416.

PMID: 36624666 PMC: 9825581. DOI: 10.1093/nar/gkac1033.


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