Evidence map›Paper›PMID 23266103›Full record

ArticleTrends in biochemical sciences2013

Anticodon G recognition by tRNA synthetases mimics the tRNA core.

Liron Klipcan, Mark Safro, Paul Schimmel

Abstract read
In one paragraph

Article in Trends in biochemical sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 91% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 2 countries.

Liron KlipcanDepartment of Molecular Biology and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, 10550 N. Torrey Pines Road, La Jolla, CA 92037, USA.
Mark Safro
Paul Schimmel
Scripps Research Institute · USWeizmann Institute of Science · IL

Funding

INVESTIGATIONS OF REACTIONS OF PHYSIOLOGICAL IMPORTANCER01GM015539 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SCHIMMEL, PAUL R · 1985 to 2011
$6.6M
GENETIC APPROACHES TO PROTEIN/NUCLEIC ACID INTERACTIONSR01GM023562 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SCHIMMEL, PAUL R · 1985 to 2012
$4.9M
Components of Translation in Signal TransductionR01CA092577 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI SCHIMMEL, PAUL R · 2001 to 2016
$4.5M
REACTIONS OF PHYSIOLOGICAL IMPORTANCER37GM015539 · NIGMS · SCRIPPS RESEARCH INSTITUTE · PI SCHIMMEL, PAUL R · 1989 to 1998
–
NCI NIH HHS R01 CA092577NIGMS NIH HHS GM15539NIGMS NIH HHS R01 GM015539NIGMS NIH HHS R01 GM023562PHS HHS 23562
6 · The paper itself

Abstract

Ancient mechanisms for nucleotide base recognition in the RNA world are candidates for mimicking by early proteins like tRNA synthetases. In the core of the tRNA, conserved G22 interacts with two internal bases in a complex further stabilized by stacking interactions. This particular tRNA format for G recognition is shown here to be adapted by nine different and even nonhomologous anticodon binding domains (ABDs) of tRNA synthetases, in which amino acid side chains mimic all of the tRNA G22 base interactions. We offer the possibility that mimicking this RNA-based mechanism for guanine recognition is perhaps one of the selective pressures for choosing amino acids for the genetic code.

Indexed as

Amino Acid SequenceAmino Acyl-tRNA SynthetasesAnticodonBase PairingBase SequenceBinding SitesGenetic CodeHumansModels, MolecularNucleic Acid ConformationProtein ConformationRNA, TransferSubstrate SpecificityAmino Acyl-tRNA SynthetasesAnticodonRNA, Transfer

Identifiers

PMID23266103
PMCPMC3634914
OpenAlexW2033976581

What OpenQuestion holds

Textmetadata
LicenceTDM
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.