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

Exploiting the pathway structure of metabolism to reveal high-order epistasis.

BMC systems biology - 30 Apr 2008

Imielinski Marcin, Belta Calin

Abstract excerpt

BACKGROUND: Biological robustness results from redundant pathways that achieve an essential objective, e.g. the production of biomass. As a consequence, the biological roles of many genes can only be revealed through multiple knockouts that identify a set of genes as essential for a given function. The identification of such "epistatic" essential relationships between network components is critical for the...

Read the complete abstract on PubMed

Topics

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

Share to Biomass
Share to Computational Biology
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Escherichia coli

Share to Genome, Bacterial

Share to Metabolic Networks and Pathways

Share to Sequence Deletion

Share to Systems Biology

Source

Open in PubMed Open full text

Identifiers

PMID: 18447928
DOI: 10.1186/1752-0509-2-40
PMCID: PMC2390508

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Exploiting the pathway structure of metabolism to reveal high-order epistasis.PMID 18447928Read ↗

Modular epistasis in yeast metabolism.Semantic proximity Read ↗

Metabolic network analysis revealed distinct routes of deletion effects between essential and non-essential genes.Semantic proximity Read ↗

Quantitative epistasis analysis and pathway inference from genetic interaction data.Semantic proximity Read ↗

Multiple knockout analysis of genetic robustness in the yeast metabolic network.Semantic proximity Read ↗

Genome-scale gene/reaction essentiality and synthetic lethality analysis.Semantic proximity Read ↗

Scalable enumeration and sampling of minimal metabolic pathways for organisms and communitiesSemantic proximity Read ↗

Essentiality and damage in metabolic networks.Semantic proximity Read ↗

Using the topology of metabolic networks to predict viability of mutant strains.Semantic proximity Read ↗

Predicting effects of structural stress in a genome-reduced model bacterial metabolism.Semantic proximity Read ↗

Evolutionary plasticity and innovations in complex metabolic reaction networks.Semantic proximity Read ↗

Scalable metabolic pathway analysisSemantic proximity Read ↗

Superessential reactions in metabolic networks.Semantic proximity Read ↗

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