Evidence map›Paper›PMID 28645146›Full record

ArticleNucleic acids research2017

Analysis of in vitro evolution reveals the underlying distribution of catalytic activity among random sequences.

Abe Pressman, Janina E Moretti, Gregory W Campbell, Ulrich F Müller, Irene A Chen

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Principles ofJournal of the Royal Society, Interface · 2025
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  3. Article
  4. Article
  5. Article
  6. Article
  7. A ribozyme that uses lanthanides as cofactor.Nucleic acids research · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Emerging Frontiers in the Study of Molecular Evolution.Journal of molecular evolution · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Abe PressmanDepartment of Chemistry and Biochemistry 9510, University of California, Santa Barbara, CA 93106, USA.
Janina E MorettiDepartment of Chemistry and Biochemistry, University of California, San Diego, CA 92093, USA.
Gregory W CampbellDepartment of Chemistry and Biochemistry 9510, University of California, Santa Barbara, CA 93106, USA.
Ulrich F MüllerDepartment of Chemistry and Biochemistry, University of California, San Diego, CA 92093, USA.
Irene A ChenDepartment of Chemistry and Biochemistry 9510, University of California, Santa Barbara, CA 93106, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of catalytic RNA is believed to have been a key event during the origin of life. Understanding how catalytic activity is distributed across random sequences is fundamental to estimating the probability that catalytic sequences would emerge. Here, we analyze the in vitro evolution of triphosphorylating ribozymes and translate their fitnesses into absolute estimates of catalytic activity for hundreds of ribozyme families. The analysis efficiently identified highly active ribozymes and estimated catalytic activity with good accuracy. The evolutionary dynamics follow Fisher's Fundamental Theorem of Natural Selection and a corollary, permitting retrospective inference of the distribution of fitness and activity in the random sequence pool for the first time. The frequency distribution of rate constants appears to be log-normal, with a surprisingly steep dropoff at higher activity, consistent with a mechanism for the emergence of activity as the product of many independent contributions.

Indexed as

Directed Molecular EvolutionMutationAlgorithmsBiocatalysisModels, GeneticNucleic Acid ConformationRNARNA, CatalyticSelection, GeneticSubstrate SpecificityRNARNA, Catalytic

Identifiers

PMID28645146
PMCPMC5737207

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.