Evidence map›Paper›PMID 28186392›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine2017

Understanding the mTOR signaling pathway via mathematical modeling.

Nurgazy Sulaimanov, Martin Klose, Hauke Busch, Melanie Boerries

Open access · bronzeAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
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  11. Finding new edges: systems approaches to MTOR signaling.Biochemical Society transactions · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Novel targeted therapies for metastatic breast cancer.Annals of translational medicine · 2020
    Review
  17. PI3K in stemness regulation: from development to cancer.Biochemical Society transactions · 2020
    Review
  18. Article
  19. Article
  20. 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 at 2 institutions in 1 country.

Nurgazy SulaimanovDepartment of Electrical Engineering and Information Technology, Technische Universität Darmstadt, Darmstadt, Germany.
Martin KloseSystems Biology of the Cellular Microenvironment at the DKFZ Partner Site Freiburg - Member of the German Cancer Consortium, Institute of Molecular Medicine and Cell Research, Albert-Ludwigs-University Freiburg, Freiburg, Germany and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Hauke BuschSystems Biology of the Cellular Microenvironment at the DKFZ Partner Site Freiburg - Member of the German Cancer Consortium, Institute of Molecular Medicine and Cell Research, Albert-Ludwigs-University Freiburg, Freiburg, Germany and German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-4763-4521
Melanie BoerriesSystems Biology of the Cellular Microenvironment at the DKFZ Partner Site Freiburg - Member of the German Cancer Consortium, Institute of Molecular Medicine and Cell Research, Albert-Ludwigs-University Freiburg, Freiburg, Germany and German Cancer Research Center (DKFZ), Heidelberg, Germany.
German Cancer Research Center · DETechnische Universität Darmstadt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanistic target of rapamycin (mTOR) is a central regulatory pathway that integrates a variety of environmental cues to control cellular growth and homeostasis by intricate molecular feedbacks. In spite of extensive knowledge about its components, the molecular understanding of how these function together in space and time remains poor and there is a need for Systems Biology approaches to perform systematic analyses. In this work, we review the recent progress how the combined efforts of mathematical models and quantitative experiments shed new light on our understanding of the mTOR signaling pathway. In particular, we discuss the modeling concepts applied in mTOR signaling, the role of multiple feedbacks and the crosstalk mechanisms of mTOR with other signaling pathways. We also discuss the contribution of principles from information and network theory that have been successfully applied in dissecting design principles of the mTOR signaling network. We finally propose to classify the mTOR models in terms of the time scale and network complexity, and outline the importance of the classification toward the development of highly comprehensive and predictive models. WIREs Syst Biol Med 2017, 9:e1379. doi: 10.1002/wsbm.1379 For further resources related to this article, please visit the WIREs website.

Indexed as

Models, BiologicalAnimalsHumansSignal TransductionSystems BiologyTOR Serine-Threonine KinasesMTOR protein, humanTOR Serine-Threonine Kinases

Identifiers

PMID28186392
PMCPMC5573916
OpenAlexW2586394106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.