ArticleChemistry & biology2012
Synthetic evolving systems that implement a user-specified genetic code of arbitrary design.
Article in Chemistry & biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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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.
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Who cites it
7 citing papers in PubMed.
- Exploring the space of self-reproducing ribozymes using generative models.Nature communications · 2025Article
- Systematic minimization of RNA ligase ribozyme through large-scale design-synthesis-sequence cycles.Nucleic acids research · 2019Article
- Real-Time Detection of a Self-Replicating RNA Enzyme.Molecules (Basel, Switzerland) · 2016Article
- A ribozyme that triphosphorylates RNA 5'-hydroxyl groups.Nucleic acids research · 2014Article
- Highly efficient self-replicating RNA enzymes.Chemistry & biology · 2014Article
- A population-based experimental model for protein evolution: effects of mutation rate and selection stringency on evolutionary outcomes.Biochemistry · 2013Article
- Kinetic properties of an RNA enzyme that undergoes self-sustained exponential amplification.Biochemistry · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A synthetic genetic system, based on cross-replicating RNA enzymes, provides a means to evaluate alternative genetic codes that relate heritable information to corresponding molecular function. A special implementation of encoded combinatorial chemistry was used to construct complex populations of cross-replicating RNA enzymes in accordance with a user-specified code that relates genotype and phenotype on a molecule-by-molecule basis. The replicating enzymes were made to undergo self-sustained Darwinian evolution, resulting in the emergence of the most advantageous variants. These included both highly active enzymes that sustained the population as a whole and poorly active enzymes that survived as parasites of the active molecules. This evolutionary outcome was a consequence of the information capacity and fidelity of the genetic code, suggesting how these parameters should be adjusted to implement codes tailored to particular applications.
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Registered trials
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.