Evidence map›Paper›PMID 38948230›Full record

ArticlePeerJ2024

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

Vincent T Metzger, Daniel C Cannon, Jeremy J Yang, Stephen L Mathias, Cristian G Bologa, Anna Waller, Stephan C Schürer, Dušica Vidović, Keith J Kelleher, Timothy K Sheils and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Vincent T MetzgerTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States.
Daniel C CannonElevato Digital, Columbia, Missouri, United States.
Jeremy J YangTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States.ORCID 0000-0002-1476-6192
Stephen L MathiasTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States.
Cristian G BologaTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States.ORCID 0000-0003-2232-4244
Anna WallerCenter for Molecular Discovery, University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico, United States.ORCID 0000-0003-3676-2501
Stephan C SchürerDepartment of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, Florida, United States.ORCID 0000-0001-7180-0978
Dušica VidovićDepartment of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, Florida, United States.ORCID 0000-0001-9798-2108
Keith J KelleherNational Center for Advancing Translational Science, Rockville, Maryland, United States.
Timothy K SheilsNational Center for Advancing Translational Science, Rockville, Maryland, United States.
Lars Juhl JensenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Christophe G LambertTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States.ORCID 0000-0003-1994-2893
Tudor I OpreaTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States.
Jeremy S EdwardsTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States.

Funding

Knowledge Management Center for Illuminating the Druggable GenomeZIATR000057 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MATHÉ, EWY · 2015 to 2024
$12.6M
Druggable Genome-Common Fund Data EcosystemDruggable Genome Knowledge Management CenterNovo Nordisk FoundationUS National Institutes of Health CA224370US National Institutes of Health U24TR002278
6 · The paper itself

Abstract

TIN-X (Target Importance and Novelty eXplorer) is an interactive visualization tool for illuminating associations between diseases and potential drug targets and is publicly available at newdrugtargets.org. TIN-X uses natural language processing to identify disease and protein mentions within PubMed content using previously published tools for named entity recognition (NER) of gene/protein and disease names. Target data is obtained from the Target Central Resource Database (TCRD). Two important metrics, novelty and importance, are computed from this data and when plotted as log(importance)

Indexed as

User-Computer InterfaceHumansNatural Language ProcessingPubMedSoftwareDisease ontologyDiseasesDrug targetsIlluminating the druggable genome (IDG)Named entity recognitionProteinsTarget development level (TDL)T_darkText miningUnderstudied protein

Identifiers

PMID38948230
PMCPMC11212617

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.