Evidence map›Paper›PMID 29358943›Full record

ArticleFrontiers in genetics2017

Systematic Analysis of the Binding Surfaces between tRNAs and Their Respective Aminoacyl tRNA Synthetase Based on Structural and Evolutionary Data.

Satoshi Tamaki, Masaru Tomita, Haruo Suzuki, Akio Kanai

Abstract read
In one paragraph

Article in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  8. Review
  9. Tuning tRNAs for improved translation.Frontiers in genetics · 2024
    Review
  10. Velcrin-induced selective cleavage of tRNANature chemical biology · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Information theory unveils the evolution of tRNA identity elements in the three domains of life.Theory in biosciences = Theorie in den Biowissenschaften · 2020
    Article
  17. 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

4 authors.

Satoshi TamakiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Masaru TomitaInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Haruo SuzukiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.
Akio KanaiInstitute for Advanced Biosciences, Keio University, Tsuruoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the mechanism underlying the flow of genetic information, it is important to understand the relationship between a tRNA and its binding enzyme, a member of the aminoacyl-tRNA synthetase (aaRS) family. We have developed a novel method to project the interacting regions of tRNA-aaRS complexes, obtained from their three-dimensional structures, onto two-dimensional space. The interacting surface between each tRNA and its aaRS was successfully identified by determining these interactions with an atomic distance threshold of 3.3 Å. We analyzed their interactions, using 60 mainly bacterial and eukaryotic tRNA-aaRS complexes, and showed that the tRNA sequence regions that interacted most strongly with each aaRS are the anticodon loop and the CCA terminal region, followed by the D-stem. A sequence conservation analysis of the canonical tRNAs was conducted in 83 bacterial, 182 archaeal, and 150 eukaryotic species. Our results show that the three tRNA regions that interact with the aaRS and two additional loop regions (D-loop and TΨC-loop) known to be important for formation of the tRNA L-shaped structure are broadly conserved. We also found sequence conservations near the tRNA discriminator in the Bacteria and Archaea, and an enormous number of noncanonical tRNAs in the Eukaryotes. This is the first global view of tRNA evolution based on its structure and an unprecedented number of sequence data.

Indexed as

Aminoacyl-tRNA synthetaseinteracting surfacemolecular evolutionRNA–protein complextRNA

Identifiers

PMID29358943
PMCPMC5766645

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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.