ArticleBMC bioinformatics2006
Functional clustering of yeast proteins from the protein-protein interaction network.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 44 citations in OpenAlex.
- Partitioning of functional gene expression data using principal points.BMC bioinformatics · 2017Article
- Systems psychopharmacology: A network approach to developing novel therapies.World journal of psychiatry · 2016Review
- Modelling human protein interaction networks as metric spaces has potential in disease research and drug target discovery.BMC systems biology · 2014Article
- Exploring function prediction in protein interaction networks via clustering methods.PloS one · 2014Article
- Categorizing biases in high-confidence high-throughput protein-protein interaction data sets.Molecular & cellular proteomics : MCP · 2011Article
- Article
- Revealing and avoiding bias in semantic similarity scores for protein pairs.BMC bioinformatics · 2010Article
- Structural interpretation of protein-protein interaction network.BMC structural biology · 2010Article
- Detection of locally over-represented GO terms in protein-protein interaction networks.Journal of computational biology : a journal of computational molecular cell biology · 2010Article
- Towards inferring time dimensionality in protein-protein interaction networks by integrating structures: the p53 example.Molecular bioSystems · 2009Article
- Interactome and Gene Ontology provide congruent yet subtly different views of a eukaryotic cell.BMC systems biology · 2009Article
- Influence of protein abundance on high-throughput protein-protein interaction detection.PloS one · 2009Article
- Co-expression among constituents of a motif in the protein-protein interaction network.Journal of bioinformatics and computational biology · 2009Article
- The interactome: predicting the protein-protein interactions in cells.Cellular & molecular biology letters · 2009Review
- Network integration and graph analysis in mammalian molecular systems biology.IET systems biology · 2008Review
- Probing the extent of randomness in protein interaction networks.PLoS computational biology · 2008Article
- Gene function prediction using labeled and unlabeled data.BMC bioinformatics · 2008Article
- FunSimMat: a comprehensive functional similarity database.Nucleic acids research · 2008Article
- Metabolome based reaction graphs of M. tuberculosis and M. leprae: a comparative network analysis.PloS one · 2007Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles of these networks to investigate the details of functional and regulatory clusters of proteins.
resultsIn the present work, individual clusters identified by an eigenmode analysis of the connectivity matrix of the protein-protein interaction network in yeast are investigated for possible functional relationships among the members of the cluster. With our functional clustering we have successfully predicted several new protein-protein interactions that indeed have been reported recently.
conclusionEigenmode analysis of the entire connectivity matrix yields both a global and a detailed view of the network. We have shown that the eigenmode clustering not only is guided by the number of proteins with which each protein interacts, but also leads to functional clustering that can be applied to predict new protein interactions.
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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.