Evidence map›Paper›PMID 33156327›Full record

ArticleNucleic acids research2021

TCRD and Pharos 2021: mining the human proteome for disease biology.

Timothy K Sheils, Stephen L Mathias, Keith J Kelleher, Vishal B Siramshetty, Dac-Trung Nguyen, Cristian G Bologa, Lars Juhl Jensen, Dušica Vidović, Amar Koleti, Stephan C Schürer and 9 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 4 pooled it
12.7field-weighted citation impact, top 1% of its field
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

104 citing papers in PubMed, 4 syntheses or guidelines pooled it, 174 citations in OpenAlex.

  1. Pooled it
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  10. The oncogenome of the domestic cat.Science (New York, N.Y.) · 2026
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44 more citing papers are in PubMed but not listed here.

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

19 authors at 4 institutions in 3 countries.

Timothy K SheilsNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Stephen L MathiasTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Keith J KelleherNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Vishal B SiramshettyNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Dac-Trung NguyenNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Cristian G BologaTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Lars Juhl JensenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Dušica VidovićInstitute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA.
Amar KoletiInstitute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA.
Stephan C SchürerInstitute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA.
Anna WallerUNM Center for Molecular Discovery, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Jeremy J YangTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Jayme HolmesTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Giovanni BocciTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
Noel SouthallNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Poorva DharkarNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Ewy MathéNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Anton SimeonovNational Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
Tudor I OpreaTranslational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
National Center for Advancing Translational Sciences · USUniversity of New Mexico · USUniversity of Miami · USUniversity of Copenhagen · DK

Funding

Knowledge Management Center for Illuminating the Druggable GenomeZIATR000057 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MATHÉ, EWY · 2015 to 2024
$12.6M
Informatics Research CoreZICTR000410 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MATHÉ, EWY · 2021 to 2025
$11.7M
Machine Learning Model Validation for AD/ADRDU24CA224370 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2018 to 2023
$6.4M
Resource Dissemination and Outreach Center for Illuminating the Druggable GenomeU24TR002278 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SCHURER, STEPHAN C, SKLAR, LARRY A. · 2018 to 2023
$3.7M
NCATS NIH HHS U24 TR002278NCI NIH HHS U24 CA224370
6 · The paper itself

Abstract

In 2014, the National Institutes of Health (NIH) initiated the Illuminating the Druggable Genome (IDG) program to identify and improve our understanding of poorly characterized proteins that can potentially be modulated using small molecules or biologics. Two resources produced from these efforts are: The Target Central Resource Database (TCRD) (http://juniper.health.unm.edu/tcrd/) and Pharos (https://pharos.nih.gov/), a web interface to browse the TCRD. The ultimate goal of these resources is to highlight and facilitate research into currently understudied proteins, by aggregating a multitude of data sources, and ranking targets based on the amount of data available, and presenting data in machine learning ready format. Since the 2017 release, both TCRD and Pharos have produced two major releases, which have incorporated or expanded an additional 25 data sources. Recently incorporated data types include human and viral-human protein-protein interactions, protein-disease and protein-phenotype associations, and drug-induced gene signatures, among others. These aggregated data have enabled us to generate new visualizations and content sections in Pharos, in order to empower users to find new areas of study in the druggable genome.

Indexed as

Databases, FactualGenome, HumanSoftwareAnimalsAnticonvulsantsAntiviral AgentsBiological ProductsData MiningHost-Pathogen InteractionsHumansInternetMachine LearningMiceMice, KnockoutMolecular Targeted TherapyNeurodegenerative DiseasesAnticonvulsantsAntiviral AgentsBiological ProductsProteomeSmall Molecule Libraries

Identifiers

PMID33156327
PMCPMC7778974
OpenAlexW3094762523

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.