Evidence map›Paper›PMID 33801827›Full record

ReviewInternational journal of molecular sciences2021

Evolution as a Guide to Designing

Christopher Mayer-Bacon, Neyiasuo Agboha, Mickey Muscalli, Stephen Freeland

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Undefining life's biochemistry: implications for abiogenesis.Journal of the Royal Society, Interface · 2022
    Review
  8. Review
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.

Christopher Mayer-BaconDepartment of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Neyiasuo AgbohaDepartment of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Mickey MuscalliIndividualized Study Program, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Stephen FreelandDepartment of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we summarize a line of remarkably simple, theoretical research to better understand the chemical logic by which life's standard alphabet of 20 genetically encoded amino acids evolved. The connection to the theme of this Special Issue, "Protein Structure Analysis and Prediction with Statistical Scoring Functions", emerges from the ways in which current bioinformatics currently lacks empirical science when it comes to xenoproteins composed largely or entirely of amino acids from beyond the standard genetic code. Our intent is to present new perspectives on existing data from two different frontiers in order to suggest fresh ways in which their findings complement one another. These frontiers are origins/astrobiology research into the emergence of the standard amino acid alphabet, and empirical xenoprotein synthesis.

Indexed as

Evolution, MolecularProtein BiosynthesisAlgorithmsAmino AcidsComputational BiologyDNAGenetic CodeMolecular StructureNucleotidesProteinsAmino AcidsDNANucleotidesProteinsamino acidchemistry spacencAAoptimalityprotein structure prediction

Identifiers

PMID33801827
PMCPMC8000707

What OpenQuestion holds

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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.