Cited by 279Computational Drug Discovery MethodsBioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Pharos: collating protein information to shed light on the druggable genome

Open access
Nguyen, Dac-Trung, Mathias, Stephen, Bologa, Cristian, Brunak, Soren, Fernandez, Nicolas, Gaulton, Anna, Hersey, Anne, Holmes, Jayme +22 more·2017·Nucleic Acids Research

Abstract

The 'druggable genome' encompasses several protein families, but only a subset of targets within them have attracted significant research attention and thus have information about them publicly available. The Illuminating the Druggable Genome (IDG) program was initiated in 2014, has the goal of developing experimental techniques and a Knowledge Management Center (KMC) that would collect and organize information about protein targets from four families, representing the most common druggable targets with an emphasis on understudied proteins. Here, we describe two resources developed by the KMC: the Target Central Resource Database (TCRD) which collates many heterogeneous gene/protein datasets and Pharos (https://pharos.nih.gov), a multimodal web interface that presents the data from TCRD. We briefly describe the types and sources of data considered by the KMC and then highlight features of the Pharos interface designed to enable intuitive access to the IDG knowledgebase. The aim of Pharos is to encourage 'serendipitous browsing', whereby related, relevant information is made easily discoverable. We conclude by describing two use cases that highlight the utility of Pharos and TCRD.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkw1072

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The current version of DrugCentral reports 708 Tchem, 415 Tbio and 26 Tdark proteins, mapped onto TCRD and interfaced with Pharos.

    “The current version of DrugCentral reports 708 Tchem, 415 Tbio and 26 Tdark proteins, mapped onto the Target Central Resource Database (TCRD) and interfaced with the TCRD portal, Pharos, respectively (39,40).”
  • Pharos and TCRD jointly serve as the knowledge hub for over 20 000 human protein targets.

    “Pharos and the Target Central Resource Database (TCRD) are open-access resources developed as a part of the IDG program and jointly serve as the knowledge hub for over 20 000 human protein targets (2,3).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [20]Stasko J. Zhang E. InfoVis'00 2000 IEEE 57 65

Cited by

Sorted by citations

Authors
Nguyen, D.-T., Mathias, S., Bologa, C., Brunak, S., Fernandez, N., Gaulton, A., Hersey, A., Holmes, J., Jensen, L. J., Karlsson, A., Liu, G., Ma'ayan, A., Mandava, G., Mani, S., Mehta, S., Overington, J., Patel, J., Rouillard, A. D., Schürer, S., Sheils, T., Simeonov, A., Sklar, L. A., Southall, N., Ursu, O., Vidovic, D., Waller, A., Yang, J., Jadhav, A., Oprea, T. I., & Guha, R.
Affiliations
  • University of New Mexico (US)
  • Icahn School of Medicine at Mount Sinai (US)
  • European Bioinformatics Institute (GB)
  • University of Copenhagen (DK)
  • BenevolentAI (United Kingdom) (GB)
  • East China University of Science and Technology (CN)
  • National Center for Advancing Translational Sciences (US)
  • University of Miami (US)
Corresponding author
Guha, Rajarshi
Venue
Nucleic Acids Research
Published
2016-11-29
Volume
45
Issue
D1
Pages
D995-D1002
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2558366645
Cited by
279
References
22
Citations by year
2026: 14 · 2025: 19 · 2024: 36 · 2023: 31 · 2022: 41 · 2021: 26 · 2020: 42 · 2019: 34 · 2018: 25 · 2017: 10 · 2016: 1
FWCI
21.77
Type
journal article
Language
en
Open access
Licence
public-domain
Locations
  • Nucleic Acids Research (publishedVersion, public-domain)
  • PubMed Central (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • Novo Nordisk (NNF14CC0001)
  • Novo Nordisk Fonden (NNF 14CC0001)
  • National Institutes of Health
  • National Heart, Lung, and Blood Institute (T32HL007824)
  • National Cancer Institute (U54CA189201, U54CA189205, P30CA118100)
  • National Center for Advancing Translational Sciences
  • Common Fund
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
Keywords
druggable genome, Pharo, protein targets, web interface, knowledge base
MeSH terms
Humans, Obesity, Pharmacogenetics, Software, Cluster Analysis, Computational Biology, Genomics, Databases, Genetic, Drug Discovery, Search Engine, Web Browser

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review