Evidence map›Paper›PMID 25802223›Full record

ArticleScientific reports2015

Extraordinarily adaptive properties of the genetically encoded amino acids.

Melissa Ilardo, Markus Meringer, Stephen Freeland, Bakhtiyor Rasulev, H James Cleaves

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Emergence of biosignatures on Earth and implications for life detection.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  4. Review
  5. Review
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  7. On the Evolutionary History of the Twenty Encoded Amino Acids.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Enzyme catalysis prior to aromatic residues: Reverse engineering of a dephospho-CoA kinase.Protein science : a publication of the Protein Society · 2021
    Article
  14. Article
  15. Evolution as a Guide to DesigningInternational journal of molecular sciences · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Melissa Ilardo1] Centre for GeoGenetics, Natural History Museum, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen K, Denmark [2] University of Hawaii at Manoa, 2500 Campus Rd, Honolulu, HI 96822, USA.
Markus MeringerGerman Aerospace Center (DLR), Earth Observation Center (EOC), Münchner Straße 20, 82234 Oberpfaffenhofen-Wessling, Germany.
Stephen FreelandUniversity of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, MD 21250, USA.
Bakhtiyor Rasulev1] Interdisciplinary Center for Nanotoxicity, Department of Chemistry and Biochemistry, Jackson State University, 1400 J.R. Lynch St. Jackson, MS, 39217, USA [2] Center for Computationally Assisted Science and Technology, North Dakota State University, NDSU Research Park DrP.O. Box 6050, Fargo, ND 58108, USA.
H James Cleaves1] Blue Marble Space Institute of Science, 2800 Woodley Rd. NW #544, Washington, DC 20008, USA [2] Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 OokayamaMeguro-ku, Tokyo, 152-8550, Japan [3] Center for Chemical Evolution, Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332, USA [4] Institute for Advanced Study, 1 Einstein Drive, Princeton, NJ 08540, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using novel advances in computational chemistry, we demonstrate that the set of 20 genetically encoded amino acids, used nearly universally to construct all coded terrestrial proteins, has been highly influenced by natural selection. We defined an adaptive set of amino acids as one whose members thoroughly cover relevant physico-chemical properties, or "chemistry space." Using this metric, we compared the encoded amino acid alphabet to random sets of amino acids. These random sets were drawn from a computationally generated compound library containing 1913 alternative amino acids that lie within the molecular weight range of the encoded amino acids. Sets that cover chemistry space better than the genetically encoded alphabet are extremely rare and energetically costly. Further analysis of more adaptive sets reveals common features and anomalies, and we explore their implications for synthetic biology. We present these computations as evidence that the set of 20 amino acids found within the standard genetic code is the result of considerable natural selection. The amino acids used for constructing coded proteins may represent a largely global optimum, such that any aqueous biochemistry would use a very similar set.

Indexed as

CodonAdaptation, BiologicalAmino AcidsSelection, GeneticAmino AcidsCodon

Identifiers

PMID25802223
PMCPMC4371090

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.