Evidence map›Paper›PMID 22300318›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2012

Large-scale elucidation of drug response pathways in humans.

Yael Silberberg, Assaf Gottlieb, Martin Kupiec, Eytan Ruppin, Roded Sharan

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. SIGN: similarity identification in gene expression.Bioinformatics (Oxford, England) · 2019
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  12. Integrating systems biology sources illuminates drug action.Clinical pharmacology and therapeutics · 2014
    Article
  13. Article
  14. Review
  15. Article
  16. Review
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

5 authors.

Yael SilberbergDepartment of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel.
Assaf Gottlieb
Martin Kupiec
Eytan Ruppin
Roded Sharan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidating signaling pathways is a fundamental step in understanding cellular processes and developing new therapeutic strategies. Here we introduce a method for the large-scale elucidation of signaling pathways involved in cellular response to drugs. Combining drug targets, drug response expression profiles, and the human physical interaction network, we infer 99 human drug response pathways and study their properties. Based on the newly inferred pathways, we develop a pathway-based drug-drug similarity measure and compare it to two common, gold standard drug-drug similarity measures. Remarkably, our measure provides better correspondence to these gold standards than similarity measures that are based on associations between drugs and known pathways, or on drug-specific gene expression profiles. It further improves the prediction of drug side effects and indications, elucidating specific response pathways that may be associated with these drug properties. Supplementary Material for this article is available at www.liebertonline.com/cmb.

Indexed as

Computer SimulationModels, BiologicalAlgorithmsArea Under CurveDNA-Binding ProteinsDown-RegulationDrug-Related Side Effects and Adverse ReactionsGene Expression RegulationHumansLikelihood FunctionsProtein Interaction MapsROC CurveSignal TransductionSupport Vector MachineUp-RegulationDNA-Binding Proteins

Identifiers

PMID22300318
PMCPMC3272249

What OpenQuestion holds

Textmetadata
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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.