Evidence map›Paper›PMID 31207893›Full record

ReviewInternational journal of molecular sciences2019

Nervous-Like Circuits in the Ribosome Facts, Hypotheses and Perspectives.

Youri Timsit, Daniel Bennequin

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Protein Fold Usages in Ribosomes: Another Glance to the Past.International journal of molecular sciences · 2024
    Article
  5. Review
  6. Virus-Induced Membrane Fusion in Neurodegenerative Disorders.Frontiers in cellular and infection microbiology · 2022
    Review
  7. Towards the Idea of Molecular Brains.International journal of molecular sciences · 2021
    Review
  8. Review
  9. Article
  10. 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.

Youri TimsitMediterranean Institute of Oceanography UM 110, Aix-Marseille Université, CNRS, IRD, Campus de Luminy, 13288 Marseille, France. youri.timsit@mio.osupytheas.fr.
Daniel BennequinInstitut de Mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG) Université Paris Diderot, bâtiment Sophie-Germain, 8, place Aurélie Nemours, 75013 Paris, France. bennequin@math.univ-paris-diderot.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past few decades, studies on translation have converged towards the metaphor of a "ribosome nanomachine"; they also revealed intriguing ribosome properties challenging this view. Many studies have shown that to perform an accurate protein synthesis in a fluctuating cellular environment, ribosomes sense, transfer information and even make decisions. This complex "behaviour" that goes far beyond the skills of a simple mechanical machine has suggested that the ribosomal protein networks could play a role equivalent to nervous circuits at a molecular scale to enable information transfer and processing during translation. We analyse here the significance of this analogy and establish a preliminary link between two fields: ribosome structure-function studies and the analysis of information processing systems. This cross-disciplinary analysis opens new perspectives about the mechanisms of information transfer and processing in ribosomes and may provide new conceptual frameworks for the understanding of the behaviours of unicellular organisms.

Indexed as

Neural Networks, ComputerSignal TransductionAnimalsHumansRibosomescomplexityevolutioninformation processingnervous circuitnetworkneuronprotein interfaceribosometranslation

Identifiers

PMID31207893
PMCPMC6627100

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.