Evidence map›Paper›PMID 16211428›Full record

ArticleJournal of molecular evolution2005

Error minimization and coding triplet/binding site associations are independent features of the canonical genetic code.

J Gregory Caporaso, Michael Yarus, Rob Knight

Abstract read
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In one paragraph

Article in Journal of molecular evolution, 2005. 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
  2. Article
  3. Article
  4. Fitting the standard genetic code into its triplet table.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Phenotypic Graphs and Evolution Unfold the Standard Genetic Code as the Optimal.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2018
    Article
  7. The Genetic Code and RNA-Amino Acid Affinities.Life (Basel, Switzerland) · 2017
    Review
  8. A unified model of the standard genetic code.Royal Society open science · 2017
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

3 authors.

J Gregory CaporasoDepartment of Biochemistry and Molecular Genetics, University of Colorado Health Sciences Center, Mail Stop 8303, P.O. Box 6511, Aurora, CO 80045, USA.
Michael Yarus
Rob Knight

Funding

RNA CATALYSIS OF TRANSLATIONAL REACTIONSR01GM048080 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI YARUS, MICHAEL J · 1993 to 2009
$2.8M
NIGMS NIH HHS GM 48080
6 · The paper itself

Abstract

The canonical genetic code has been reported both to be error minimizing and to show stereochemical associations between coding triplets and binding sites. In order to test whether these two properties are unexpectedly overlapping, we generated 200,000 randomized genetic codes using each of five randomization schemes, with and without randomization of stop codons. Comparison of the code error (difference in polar requirement for single-nucleotide codon interchanges) with the coding triplet concentrations in RNA binding sites for eight amino acids shows that these properties are independent and uncorrelated. Thus, one is not the result of the other, and error minimization and triplet associations probably arose independently during the history of the genetic code. We explicitly show that prior fixation of a stereochemical core is consistent with an effective later minimization of error.

Indexed as

Evolution, MolecularModels, GeneticBase SequenceBinding SitesGenetic CodeMolecular Sequence DataRandom AllocationSubstrate Specificity

Identifiers

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.