Publication Date:
2003-10-18
Description:
We have developed an approach using Bayesian networks to predict protein-protein interactions genome-wide in yeast. Our method naturally weights and combines into reliable predictions genomic features only weakly associated with interaction (e.g., messenger RNAcoexpression, coessentiality, and colocalization). In addition to de novo predictions, it can integrate often noisy, experimental interaction data sets. We observe that at given levels of sensitivity, our predictions are more accurate than the existing high-throughput experimental data sets. We validate our predictions with TAP (tandem affinity purification) tagging experiments. Our analysis, which gives a comprehensive view of yeast interactions, is available at genecensus.org/intint.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jansen, Ronald -- Yu, Haiyuan -- Greenbaum, Dov -- Kluger, Yuval -- Krogan, Nevan J -- Chung, Sambath -- Emili, Andrew -- Snyder, Michael -- Greenblatt, Jack F -- Gerstein, Mark -- New York, N.Y. -- Science. 2003 Oct 17;302(5644):449-53.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biophysics and Biochemistry, Yale University, 266 Whitney Avenue, Post Office Box 208114, New Haven, CT 06520, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14564010" target="_blank"〉PubMed〈/a〉
Keywords:
*Bayes Theorem
;
DEAD-box RNA Helicases
;
DNA Replication
;
Gene Expression
;
*Genome, Fungal
;
Likelihood Functions
;
Nucleosomes/metabolism
;
Peptide Chain Elongation, Translational
;
*Protein Interaction Mapping
;
Proteomics
;
RNA Helicases/metabolism
;
RNA, Messenger/genetics/metabolism
;
RNA-Binding Proteins/metabolism
;
Saccharomyces cerevisiae/genetics/*metabolism
;
Saccharomyces cerevisiae Proteins/genetics/*metabolism
;
Sensitivity and Specificity
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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