Evidence map›Paper›PMID 29082465›Full record

ArticleOrigins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life2018

Phenotypic Graphs and Evolution Unfold the Standard Genetic Code as the Optimal.

Gabriel S Zamudio, Marco V José

Abstract read
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In one paragraph

Article in Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life, 2018. 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
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.

  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

2 authors.

Gabriel S ZamudioTheoretical Biology Group, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, C.P. 04510, Ciudad de México CDMX, Mexico.
Marco V JoséTheoretical Biology Group, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, C.P. 04510, Ciudad de México CDMX, Mexico. marcojose@biomedicas.unam.mx.

Funding

CONACYT 737920DGAPA UNAM PAPIIT-IN224015
6 · The paper itself

Abstract

In this work, we explicitly consider the evolution of the Standard Genetic Code (SGC) by assuming two evolutionary stages, to wit, the primeval RNY code and two intermediate codes in between. We used network theory and graph theory to measure the connectivity of each phenotypic graph. The connectivity values are compared to the values of the codes under different randomization scenarios. An error-correcting optimal code is one in which the algebraic connectivity is minimized. We show that the SGC is optimal in regard to its robustness and error-tolerance when compared to all random codes under different assumptions.

Indexed as

Evolution, MolecularGenetic CodeModels, GeneticError-toleranceEvolution genetic codeGraph theoryNetwork theoryStandard genetic code

Identifiers

PMID29082465

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.