Stiewe, Thorsten T and Haran, Tali E TE..
The journal
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View on PubMedApril 2023: We are excited to announce the release of TIN-X Version 3.0! This new version of TIN-X includes new features, addresses bugs, and features an expanded dataset. A few of the most significant changes are:
TIN-X is an interactive visualization tool for discovering interesting associations between diseases and potential drug targets.
We used natural language processing to identify disease and protein mentions in the text of PubMed content. Using this data, we derived two metrics: novelty and importance. Novelty measures the relative scarcity of specific publications about a given concept (such as a target or a disease), while importance measures the relative strength of the association between two concepts. We then built this web tool, which enables users to explore the relationships between the novelty of potential drug targets and their importance to diseases.
Our approach was guided by the following assumptions:
For more details about how these scores are computed, please see the paper cited below.
Please report any bugs you find and send us suggestions for new features by emailing VTMetzger (at) salud (dot) unm (dot) edu.
TIN-X was a collaborative effort involving many researchers from the University of New Mexico, the University of Copenhagen, and the University of Miami. The main contributors are listed below:
TIN-X was funded by the Illuminating the Druggable Genome (IDG) Project (U54 CA189205-01).
TIN-X Version 3.0 last updated March 28, 2023
IDG-KMC Target Central Resource Database, version 6.12.4 released 10/21/2021
JensenLab DISEASES 2.0 resource downloaded 10/21/2021