Evidence map›Paper›PMID 29414696›Full record

ReviewBiophysical journal2018

Dynamics of Posttranslational Modification Systems: Recent Progress and Future Directions.

Carsten Conradi, Anne Shiu

Open access · bronzeAbstract readReview
In one paragraph

Review in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-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

21 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Benchmarking tools for a priori identifiability analysis.Bioinformatics (Oxford, England) · 2023
    Article
  9. Network regulation meets substrate modification chemistry.Journal of the Royal Society, Interface · 2023
    Article
  10. Review
  11. Genetic Analysis ofGenes · 2022
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Joining and decomposing reaction networks.Journal of mathematical biology · 2020
    Article
  18. Article
  19. Article
  20. Oscillations and bistability in a model of ERK regulation.Journal of mathematical biology · 2019
    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

2 authors at 2 institutions in 2 countries.

Carsten ConradiDepartment of Life Science Engineering, HTW Berlin, Berlin, Germany. Electronic address: carsten.conradi@htw-berlin.de.
Anne ShiuDepartment of Mathematics, Texas A&M University, College Station Texas, Texas. Electronic address: annejls@math.tamu.edu.
HTW Berlin - University of Applied Sciences · DETexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Posttranslational modification of proteins is important for signal transduction, and hence significant effort has gone toward understanding how posttranslational modification networks process information. This involves, on the theory side, analyzing the dynamical systems arising from such networks. Which networks are, for instance, bistable? Which networks admit sustained oscillations? Which parameter values enable such behaviors? In this Biophysical Perspective, we highlight recent progress in this area and point out some important future directions. Along the way, we summarize several techniques for analyzing general networks, such as eliminating variables to obtain steady-state parameterizations, and harnessing results on how incorporating intermediates affects dynamics.

Indexed as

Gene Regulatory NetworksProtein Interaction MapsProtein Processing, Post-TranslationalAnimalsComputational BiologyHumansModels, GeneticProteinsSignal TransductionProteins

Identifiers

PMID29414696
PMCPMC5985040
OpenAlexW2616910144

What OpenQuestion holds

Textmetadata
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.