Evidence map›Paper›PMID 31898878›Full record

ArticleCurrent protocols in bioinformatics2020

How to Illuminate the Druggable Genome Using Pharos.

Timothy Sheils, Stephen L Mathias, Vishal B Siramshetty, Giovanni Bocci, Cristian G Bologa, Jeremy J Yang, Anna Waller, Noel Southall, Dac-Trung Nguyen, Tudor I Oprea

Abstract read
In one paragraph

Article in Current protocols in bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. SmartGraph API: Programmatic Knowledge Mining in Network-Pharmacology Setting.Journal of chemical information and modeling · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Exploring DrugCentral: from molecular structures to clinical effects.Journal of computer-aided molecular design · 2023
    Review
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  14. Article
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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

10 authors.

Timothy SheilsNational Center for Advancing Translational Sciences, Rockville, Maryland.
Stephen L MathiasDepartment of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico.
Vishal B SiramshettyNational Center for Advancing Translational Sciences, Rockville, Maryland.
Giovanni BocciDepartment of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico.
Cristian G BologaDepartment of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico.
Jeremy J YangDepartment of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico.
Anna WallerDepartment of Pathology, University of New Mexico School of Medicine, Albuquerque, New Mexico.
Noel SouthallNational Center for Advancing Translational Sciences, Rockville, Maryland.
Dac-Trung NguyenNational Center for Advancing Translational Sciences, Rockville, Maryland.
Tudor I OpreaDepartment of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico.

Funding

Knowledge Management Center for Illuminating the Druggable GenomeZIATR000057 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI MATHÉ, EWY · 2015 to 2024
$12.6M
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

Pharos is an integrated web-based informatics platform for the analysis of data aggregated by the Illuminating the Druggable Genome (IDG) Knowledge Management Center, an NIH Common Fund initiative. The current version of Pharos (as of October 2019) spans 20,244 proteins in the human proteome, 19,880 disease and phenotype associations, and 226,829 ChEMBL compounds. This resource not only collates and analyzes data from over 60 high-quality resources to generate these types, but also uses text indexing to find less apparent connections between targets, and has recently begun to collaborate with institutions that generate data and resources. Proteins are ranked according to a knowledge-based classification system, which can help researchers to identify less studied "dark" targets that could be potentially further illuminated. This is an important process for both drug discovery and target validation, as more knowledge can accelerate target identification, and previously understudied proteins can serve as novel targets in drug discovery. Two basic protocols illustrate the levels of detail available for targets and several methods of finding targets of interest. An Alternate Protocol illustrates the difference in available knowledge between less and more studied targets. © 2020 by John Wiley & Sons, Inc. Basic Protocol 1: Search for a target and view details Alternate Protocol: Search for dark target and view details Basic Protocol 2: Filter a target list to get refined results.

Indexed as

Drug DiscoveryGenomeSoftwareBreast NeoplasmsDrug Delivery SystemsFemaleGenome-Wide Association StudyHumansLigandsReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupledbioinformaticsdark genomediseasedrug discoverydrug targetsphenotypeproteinstarget validation

Identifiers

PMID31898878
PMCPMC7818358

What OpenQuestion holds

Textmetadata
LicenceTDM
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.