Evidence map›Paper›PMID 31372215›Full record

ArticleF1000Research2019

Visualization of drug target interactions in the contexts of pathways and networks with ReactomeFIViz.

Aurora S Blucher, Shannon K McWeeney, Lincoln Stein, Guanming Wu

Abstract read
In one paragraph

Article in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Graph Structured Neural Networks for Perturbation Biology.bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Using the Reactome Database.Current protocols · 2023
    Article
  7. Article
  8. Article
  9. Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase.Database : the journal of biological databases and curation · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors.

Aurora S BlucherKnight Cancer Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
Shannon K McWeeneyKnight Cancer Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
Lincoln SteinOntario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada.
Guanming WuDivision of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, 97239, USA.ORCID 0000-0001-8196-1177

Funding

Reactome - CoreU41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI DEUSTACHIO, PETER G, HERMJAKOB, HENNING · 2012 to 2021
$14.5M
Tumor Intrinsic and Microenvironmental Mechanisms Driving Drug Combination Efficacy and Resistance in AMLU54CA224019 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BRIAN J DRUKER · 2017 to 2026
$13.9M
Reactome: An Open Knowledgebase of Human PathwaysP41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2007 to 2011
$4.5M
Reactome IDG portal: Pathway-based analysis and visualization of understudied human proteinsU01CA239069 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEUSTACHIO, PETER G, STEIN, LINCOLN D. · 2019 to 2021
$1.3M
NCI NIH HHS U01 CA239069NCI NIH HHS U54 CA224019NHGRI NIH HHS P41 HG003751NHGRI NIH HHS U41 HG003751
6 · The paper itself

Abstract

The precision medicine paradigm is centered on therapies targeted to particular molecular entities that will elicit an anticipated and controlled therapeutic response. However, genetic alterations in the drug targets themselves or in genes whose products interact with the targets can affect how well a drug actually works for an individual patient. To better understand the effects of targeted therapies in patients, we need software tools capable of simultaneously visualizing patient-specific variations and drug targets in their biological context. This context can be provided using pathways, which are process-oriented representations of biological reactions, or biological networks, which represent pathway-spanning interactions among genes, proteins, and other biological entities. To address this need, we have recently enhanced the Reactome Cytoscape app, ReactomeFIViz, to assist researchers in visualizing and modeling drug and target interactions. ReactomeFIViz integrates drug-target interaction information with high quality manually curated pathways and a genome-wide human functional interaction network. Both the pathways and the functional interaction network are provided by Reactome, the most comprehensive open source biological pathway knowledgebase. We describe several examples demonstrating the application of these new features to the visualization of drugs in the contexts of pathways and networks. Complementing previous features in ReactomeFIViz, these new features enable researchers to ask focused questions about targeted therapies, such as drug sensitivity for patients with different mutation profiles, using a pathway or network perspective.

Indexed as

Drug Delivery SystemsProteinsSoftwareData VisualizationHumansProteinsbiological pathwayBoolean networkconstrained fuzzy logic modelingdrug interaction visualizationfunctional interaction networkReactomesystems pharmacologytargeted therapy

Identifiers

PMID31372215
PMCPMC6644836

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.