Evidence map›Paper›PMID 19351898›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Dynamical networks in tRNA:protein complexes.

Anurag Sethi, John Eargle, Alexis A Black, Zaida Luthey-Schulten

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 381 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
381citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

381 citing papers in PubMed, 1 synthesis or guideline pooled it, 822 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Deciphering the allosteric landscape of 5-HTPharmacological reports : PR · 2026
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  7. Integrating NMR and contact-response analysis reveals the allosteric network driving domain closure in Enzyme I.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. A pore-facing glycan constrains GABACommunications biology · 2026
    Article
  13. Directional information flow as a tool for analyzing protein allostery.bioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Mapping Allosteric Communication in the Nucleosome with Conditional Activity.Journal of chemical information and modeling · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

321 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Anurag SethiDepartment of Chemistry,University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
John Eargle
Alexis A Black
Zaida Luthey-Schulten
University of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community network analysis derived from molecular dynamics simulations is used to identify and compare the signaling pathways in a bacterial glutamyl-tRNA synthetase (GluRS):tRNA(Glu) and an archaeal leucyl-tRNA synthetase (LeuRS):tRNA(Leu) complex. Although the 2 class I synthetases have remarkably different interactions with their cognate tRNAs, the allosteric networks for charging tRNA with the correct amino acid display considerable similarities. A dynamic contact map defines the edges connecting nodes (amino acids and nucleotides) in the physical network whose overall topology is presented as a network of communities, local substructures that are highly intraconnected, but loosely interconnected. Whereas nodes within a single community can communicate through many alternate pathways, the communication between monomers in different communities has to take place through a smaller number of critical edges or interactions. Consistent with this analysis, there are a large number of suboptimal paths that can be used for communication between the identity elements on the tRNAs and the catalytic site in the aaRS:tRNA complexes. Residues and nucleotides in the majority of pathways for intercommunity signal transmission are evolutionarily conserved and are predicted to be important for allosteric signaling. The same monomers are also found in a majority of the suboptimal paths. Modifying these residues or nucleotides has a large effect on the communication pathways in the protein:RNA complex consistent with kinetic data.

Indexed as

ArchaeaBacteriaComputer SimulationGlutamate-tRNA LigaseLeucine-tRNA LigaseProtein Structure, SecondaryRNA, Transfer, Amino AcylTransfer RNA AminoacylationGlutamate-tRNA LigaseLeucine-tRNA LigaseRNA, Transfer, Amino Acyl

Identifiers

PMID19351898
PMCPMC2672494
OpenAlexW2090264443

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.