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

Global insights into protein complexes through integrated analysis of the reliable interactome and knockout lethality.

Biochemical and biophysical research communications - 14 Feb 2003

Saito Rintaro, Suzuki Harukazu, Hayashizaki Yoshihide

Abstract excerpt

We performed an integrated computational analysis of data derived from a comprehensive set of protein-protein interactions (interactome) and a phenotype dataset on lethality in Saccharomyces cerevisiae. For the analysis, we selected reliable interactome data using our previous 'interaction generality,' a computational approach to assess reliability of interactions. Those efforts gave clear evidence that proteins...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Genes, Lethal

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

Share to Genome, Fungal

Share to Macromolecular Substances

Share to Mutation

Share to Saccharomyces cerevisiae

Share to Saccharomyces cerevisiae Proteins

Source

Identifiers

PMID: 12565826
DOI: 10.1016/s0006-291x(03)00013-5

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.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Global insights into protein complexes through integrated analysis of the reliable interactome and knockout lethality.PMID 12565826Read ↗

An integrative multi-network and multi-classifier approach to predict genetic interactions.Semantic proximity Read ↗

Global network analysis of phenotypic effects: protein networks and toxicity modulation in Saccharomyces cerevisiae.Semantic proximity Read ↗

Identification and characterization of protein subcomplexes in yeast.Semantic proximity Read ↗

Functional wiring of the yeast kinome revealed by global analysis of genetic network motifs.Semantic proximity Read ↗

Using protein complexes to predict phenotypic effects of gene mutation.Semantic proximity Read ↗

Resurrection from lethal knockouts: Bypass of gene essentiality.Semantic proximity Read ↗

Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.Semantic proximity Read ↗

Broad functional profiling of fission yeast proteins using phenomics and machine learningSemantic proximity Read ↗

Reconstruction and validation of RefRec: a global model for the yeast molecular interaction network.Semantic proximity Read ↗

Broad functional profiling of fission yeast proteins using phenomics and machine learning.Semantic proximity Read ↗

Inference of protein complex activities from chemical-genetic profile and its applications: predicting drug-target pathways.Semantic proximity Read ↗

A genome wide dosage suppressor network reveals genomic robustness.Semantic proximity Read ↗

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