Evidence map›Paper›PMID 20686685›Full record

ArticlePLoS computational biology2010

A comprehensive, quantitative, and genome-wide model of translation.

Marlena Siwiak, Piotr Zielenkiewicz

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
3.0field-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

50 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Predicting theLife (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Homeostatic regulation of ribosomal proteins by ubiquitin-independent cotranslational degradation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Estimating Total Quantitative Protein Content inInternational journal of molecular sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Modelling the effect of ribosome mobility on the rate of protein synthesis.The European physical journal. E, Soft matter · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genome scale analysis of Escherichia coli with a comprehensive prokaryotic sequence-based biophysical model of translation initiation and elongation.DNA research : an international journal for rapid publication of reports on genes and genomes · 2018
    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 1 institution in 1 country.

Marlena SiwiakInstitute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.
Piotr Zielenkiewicz
Institute of Biochemistry and Biophysics, Polish Academy of Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translation is still poorly characterised at the level of individual proteins and its role in regulation of gene expression has been constantly underestimated. To better understand the process of protein synthesis we developed a comprehensive and quantitative model of translation, characterising protein synthesis separately for individual genes. The main advantage of the model is that basing it on only a few datasets and general assumptions allows the calculation of many important translational parameters, which are extremely difficult to measure experimentally. In the model, each gene is attributed with a set of translational parameters, namely the absolute number of transcripts, ribosome density, mean codon translation time, total transcript translation time, total time required for translation initiation and elongation, translation initiation rate, mean mRNA lifetime, and absolute number of proteins produced by gene transcripts. Most parameters were calculated based on only one experimental dataset of genome-wide ribosome profiling. The model was implemented in Saccharomyces cerevisiae, and its results were compared with available data, yielding reasonably good correlations. The calculated coefficients were used to perform a global analysis of translation in yeast, revealing some interesting aspects of the process. We have shown that two commonly used measures of translation efficiency - ribosome density and number of protein molecules produced - are affected by two distinct factors. High values of both measures are caused, i.a., by very short times of translation initiation, however, the origins of initiation time reduction are completely different in both cases. The model is universal and can be applied to any organism, if the necessary input data are available. The model allows us to better integrate transcriptomic and proteomic data. A few other possibilities of the model utilisation are discussed concerning the example of the yeast system.

Indexed as

Gene Expression RegulationGenome, FungalModels, GeneticProtein BiosynthesisAlgorithmsComputational BiologyProteinsRibosomesRNA, MessengerSaccharomycesTemperatureProteinsRNA, Messenger

Identifiers

PMID20686685
PMCPMC2912337
OpenAlexW2094179288

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.