Evidence map›Paper›PMID 18567568›Full record

ArticleJournal of the Royal Society, Interface2009

Control of translation initiation: a model-based analysis from limited experimental data.

Richard J Dimelow, Stephen J Wilkinson

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 36 citations in OpenAlex.

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  8. A systems view of the protein expression process.Systems and synthetic biology · 2011
    Article
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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.

Richard J DimelowManchester Interdisciplinary Biocentre, University of Manchester, Manchester M1 7DN, UK. r.dimelow@cyprotex.com
Stephen J Wilkinson
University of Manchester · GB

Funding

Biotechnology and Biological Sciences Research Council BB/D019079/1Biotechnology and Biological Sciences Research Council BBD0190791Biotechnology and Biological Sciences Research Council BB/E003729/1Biotechnology and Biological Sciences Research Council BBE0037291Biotechnology and Biological Sciences Research Council BB/E024181/1
6 · The paper itself

Abstract

We have built a detailed kinetic model of translation initiation in yeast and have used a novel approach to determine the flux controlling steps based on limited experimental data. An efficient parameter estimation method was adapted in order to fit the most uncertain parameters (rate constants) to in vivo measurements in yeast. However, it was found that there were many other sets of plausible parameter values that also gave a good fit of the model to the data. We therefore used random sampling of this uncertain parameter space to generate a large number of diverse fitted parameter sets. A compact characterization of these parameter sets was provided by considering flux control. In particular, we suggest that the rate of translation initiation is most strongly influenced by one of two reactions: either the guanine nucleotide exchange reaction involving initiation factors eIF2 and eIF2B or the assembly of the multifactor complex from its constituent protein/tRNA containing complexes. It is hoped that the approach presented in this paper will add to our understanding of translation initiation pathway and can be used to identify key system-level properties of other biochemical processes.

Indexed as

Models, GeneticGuanine Nucleotide Exchange FactorsPeptide Chain Initiation, TranslationalPrincipal Component AnalysisProtein BiosynthesisRNA, MessengerYeastsGuanine Nucleotide Exchange FactorsRNA, Messenger

Identifiers

PMID18567568
PMCPMC2610325
OpenAlexW2149124745

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.