ReviewLife (Basel, Switzerland)2015
Fitness Landscapes of Functional RNAs.
Review in Life (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025Review
- Exploring the Landscape of Aptamers: From Cross-Reactive to Selective to Specific, High-Affinity Receptors for Cocaine.JACS Au · 2024Article
- Random and Natural Non-Coding RNA Have Similar Structural Motif Patterns but Differ in Bulge, Loop, and Bond Counts.Life (Basel, Switzerland) · 2023Article
- Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning.Nature communications · 2022Article
- Mapping a Systematic Ribozyme Fitness Landscape Reveals a Frustrated Evolutionary Network for Self-Aminoacylating RNA.Journal of the American Chemical Society · 2019Article
- Aminoacyl-tRNA synthetase evolution and sectoring of the genetic code.Transcription · 2018Article
- Constructive Approaches for Understanding the Origin of Self-Replication and Evolution.Life (Basel, Switzerland) · 2016Review
- The RNA World: 4,000,000,050 years old.Life (Basel, Switzerland) · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The notion of fitness landscapes, a map between genotype and fitness, was proposed more than 80 years ago. For most of this time data was only available for a few alleles, and thus we had only a restricted view of the whole fitness landscape. Recently, advances in genetics and molecular biology allow a more detailed view of them. Here we review experimental and theoretical studies of fitness landscapes of functional RNAs, especially aptamers and ribozymes. We find that RNA structures can be divided into critical structures, connecting structures, neutral structures and forbidden structures. Such characterisation, coupled with theoretical sequence-to-structure predictions, allows us to construct the whole fitness landscape. Fitness landscapes then can be used to study evolution, and in our case the development of the RNA world.
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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.