Evidence map›Paper›PMID 23743923›Full record

ArticleJournal of molecular evolution2013

Unearthing the root of amino acid similarity.

James D Stephenson, Stephen J Freeland

Abstract readComparative Study
In one paragraph

Article in Journal of molecular evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Article
  7. Article
  8. Research progress of reduced amino acid alphabets in protein analysis and prediction.Computational and structural biotechnology journal · 2022
    Review
  9. Evolution as a Guide to DesigningInternational journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Environmental Adaptation from the Origin of Life to the Last Universal Common Ancestor.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2018
    Article
  17. Article
  18. Article
  19. 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.

James D StephensonNASA Astrobiology Institute, University of Hawaii, Honolulu, HI, 96822, USA, jds@ifa.hawaii.edu.
Stephen J Freeland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Similarities and differences between amino acids define the rates at which they substitute for one another within protein sequences and the patterns by which these sequences form protein structures. However, there exist many ways to measure similarity, whether one considers the molecular attributes of individual amino acids, the roles that they play within proteins, or some nuanced contribution of each. One popular approach to representing these relationships is to divide the 20 amino acids of the standard genetic code into groups, thereby forming a simplified amino acid alphabet. Here, we develop a method to compare or combine different simplified alphabets, and apply it to 34 simplified alphabets from the scientific literature. We use this method to show that while different suggestions vary and agree in non-intuitive ways, they combine to reveal a consensus view of amino acid similarity that is clearly rooted in physico-chemistry.

Indexed as

AlgorithmsAmino AcidsGenetic CodeProteinsSequence AlignmentSequence Analysis, ProteinAmino AcidsProteins

Identifiers

PMID23743923
PMCPMC6763418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.