Evidence map›Paper›PMID 26497916›Full record

ArticleScientific reports2015

Exceptionally large entropy contributions enable the high rates of GTP hydrolysis on the ribosome.

Johan Åqvist, Shina C L Kamerlin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Computer Simulations of the Temperature Dependence of Enzyme Reactions.Journal of chemical theory and computation · 2025
    Review
  4. Why Do Empirical Valence Bond Simulations Yield Accurate Arrhenius Plots?Journal of chemical theory and computation · 2024
    Article
  5. Enthalpies and entropies of hydration from Monte Carlo simulations.Physical chemistry chemical physics : PCCP · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. EF-Tu and EF-G are activated by allosteric effects.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  10. Article
  11. Review
  12. Article
  13. 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.

Johan ÅqvistDept. of Cell &Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.
Shina C L KamerlinDept. of Cell &Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein synthesis on the ribosome involves hydrolysis of GTP in several key steps of the mRNA translation cycle. These steps are catalyzed by the translational GTPases of which elongation factor Tu (EF-Tu) is the fastest GTPase known. Here, we use extensive computer simulations to explore the origin of its remarkably high catalytic rate on the ribosome and show that it is made possible by a very large positive activation entropy. This entropy term (TΔS(‡)) amounts to more than 7 kcal/mol at 25 °C. It is further found to be characteristic of the reaction mechanism utilized by the translational, but not other, GTPases and it enables these enzymes to attain hydrolysis rates exceeding 500 s(-1). This entropy driven mechanism likely reflects the very high selection pressure on the speed of protein synthesis, which drives the rate of each individual GTPase towards maximal turnover rate of the whole translation cycle.

Indexed as

BiocatalysisCatalytic DomainEntropyGuanosine TriphosphateHydrolysisKineticsMolecular Dynamics SimulationPeptide Elongation Factor TuRibosomesTemperatureGuanosine TriphosphatePeptide Elongation Factor Tu

Identifiers

PMID26497916
PMCPMC4620562
OpenAlexW2180719249

What OpenQuestion holds

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Registered trials

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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.