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

Evolution of complexity in signaling pathways.

Proceedings of the National Academy of Sciences of the United States of America - 31 Oct 2006

Soyer Orkun S, Bonhoeffer Sebastian

Abstract excerpt

It is not clear how biological pathways evolve to mediate a certain physiological response and why they show a level of complexity that is generally above the minimum required to achieve such a response. One possibility is that pathway complexity increases due to the nature of evolutionary mechanisms. Here, we analyze this possibility by using mathematical models of biological pathways and evolutionary...

Read the complete abstract on PubMed

Topics

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

Share to Biological Evolution
Share to Computational Biology
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Mutation

Share to Signal Transduction

Source

Open in PubMed Open full text

Identifiers

PMID: 17060629
DOI: 10.1073/pnas.0604449103
PMCID: PMC1621048

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Evolution of complexity in signaling pathways.PMID 17060629Read ↗

The evolution of molecular genetic pathways and networks.Semantic proximity Read ↗

Evolutionary systems biology: what it is and why it matters.Semantic proximity Read ↗

Back to the biology in systems biology: what can we learn from biomolecular networks?Semantic proximity Read ↗

On the evolution and development of morphological complexity: A view from gene regulatory networks.Semantic proximity Read ↗

Building synthetic systems to learn nature's design principles.Semantic proximity Read ↗

Simulated evolution of signal transduction networks.Semantic proximity Read ↗

Selection on metabolic pathway function in the presence of mutation-selection-drift balance leads to rate-limiting steps that are not evolutionarily stable.Semantic proximity Read ↗

Consequences of complexity within biological networks: robustness and health, or vulnerability and disease.Semantic proximity Read ↗

A mechanistic study of evolvability using the mitogen-activated protein kinase cascade.Semantic proximity Read ↗

A generative bias towards average complexity in artificial cell lineages.Semantic proximity Read ↗

Modular evolution and increase of functional complexity in replicating RNA molecules.Semantic proximity Read ↗

Alternative routes and mutational robustness in complex regulatory networks.Semantic proximity Read ↗

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