Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Neutral network sizes of biological RNA molecules can be computed and are not atypically small.

BMC bioinformatics - 30 Oct 2008

Jörg Thomas, Martin Olivier C, Wagner Andreas

Abstract excerpt

BACKGROUND: Neutral networks or sets consist of all genotypes with a given phenotype. The size and structure of these sets has a strong influence on a biological system's robustness to mutations, and on its evolvability, the ability to produce phenotypic variation; in the few studied cases of mol...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Databases, Nucleic Acid
Share to Monte Carlo Method

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Neural Networks, Computer

Share to Nucleic Acid Conformation

Share to RNA, Untranslated

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 18973652
DOI: 10.1186/1471-2105-9-464
PMCID: PMC2639431

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-18973652-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Neutral network sizes of biological RNA molecules can be computed and are not atypically small.PMID 18973652Read ↗

Using small samples to estimate neutral component size and robustness in the genotype-phenotype map of RNA secondary structure.Semantic proximity Read ↗

Fast free-energy-based neutral set size estimates for the RNA genotype-phenotype map.Semantic proximity Read ↗

New structural variation in evolutionary searches of RNA neutral networks.Semantic proximity Read ↗

Topological structure of the space of phenotypes: the case of RNA neutral networks.Semantic proximity Read ↗

Multiplicity of phenotypes and RNA evolution.Semantic proximity Read ↗

Neutral components show a hierarchical community structure in the genotype-phenotype map of RNA secondary structure.Semantic proximity Read ↗

Epistasis can lead to fragmented neutral spaces and contingency in evolution.Semantic proximity Read ↗

The non-deterministic genotype-phenotype map of RNA secondary structure.Semantic proximity Read ↗

Revisiting robustness and evolvability: evolution in weighted genotype spaces.Semantic proximity Read ↗

Robustness and evolvability: a paradox resolved.Semantic proximity Read ↗

Genetic Correlations Greatly Increase Mutational Robustness and Can Both Reduce and Enhance Evolvability.Semantic proximity Read ↗

Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.