Evidence map›Paper›PMID 24120141›Full record

ArticleCell2013

The dynamics of signaling as a pharmacological target.

Marcelo Behar, Derren Barken, Shannon L Werner, Alexander Hoffmann

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

79 citing papers in PubMed, 137 citations in OpenAlex.

  1. Lentivirus-Mediated Measurement of Transcription Factor Activity in the Brain.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  4. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Marcelo BeharSignaling Systems Laboratory, Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA; San Diego Center for Systems Biology, University of California, San Diego, La Jolla, CA 92093, USA; Computational Biosciences Institute, University of California, Los Angeles, Los Angeles, CA 90025, USA; Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90025, USA.
Derren Barken
Shannon L Werner
Alexander Hoffmann
University of California, Los Angeles · USUniversity of California, San Diego · US

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
STRUCTURE AND STABILITY OF IKB/NF-KB COMPLEXESP01GM071862 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 2006 to 2016
$14.9M
Information tranfer in NF-kappaB and MAPK pathwaysR01GM072024 · NIGMS · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2004 to 2019
$3.9M
IKK:Biophysical basis of dynamic regulationR01CA141722 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, GOURISANKAR, HOFFMANN, ALEXANDER · 2009 to 2013
$2.7M
Regulation of signaling via the lkB-NF-kB interactionR01GM071573 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOFFMANN, ALEXANDER · 2005 to 2013
$2.2M
Delays and variability in single-cell NFkB signalingR01GM089976 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, HOFFMANN, ALEXANDER · 2010 to 2013
$2.0M
NCI NIH HHS R01 CA141722NIGMS NIH HHS P01 GM071862NIGMS NIH HHS P50 GM085764NIGMS NIH HHS R01 GM071573NIGMS NIH HHS R01 GM072024NIGMS NIH HHS R01 GM 089976NIGMS NIH HHS R01 GM089976
6 · The paper itself

Abstract

Highly networked signaling hubs are often associated with disease, but targeting them pharmacologically has largely been unsuccessful in the clinic because of their functional pleiotropy. Motivated by the hypothesis that a dynamic signaling code confers functional specificity, we investigated whether dynamic features may be targeted pharmacologically to achieve therapeutic specificity. With a virtual screen, we identified combinations of signaling hub topologies and dynamic signal profiles that are amenable to selective inhibition. Mathematical analysis revealed principles that may guide stimulus-specific inhibition of signaling hubs, even in the absence of detailed mathematical models. Using the NFκB signaling module as a test bed, we identified perturbations that selectively affect the response to cytokines or pathogen components. Together, our results demonstrate that the dynamics of signaling may serve as a pharmacological target, and we reveal principles that delineate the opportunities and constraints of developing stimulus-specific therapeutic agents aimed at pleiotropic signaling hubs.

Indexed as

Molecular Targeted TherapyAnimalsComputer SimulationDrug DiscoveryDrug Evaluation, PreclinicalHumansNF-kappa BSignal TransductionNF-kappa B

Identifiers

PMID24120141
PMCPMC3856316
OpenAlexW2007632818

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.