Literature DB >> 15618515

Use of logic relationships to decipher protein network organization.

Peter M Bowers1, Shawn J Cokus, David Eisenberg, Todd O Yeates.   

Abstract

A major focus of genome research is to decipher the networks of molecular interactions that underlie cellular function. We describe a computational approach for identifying detailed relationships between proteins on the basis of genomic data. Logic analysis of phylogenetic profiles identifies triplets of proteins whose presence or absence obey certain logic relationships. For example, protein C may be present in a genome only if proteins A and B are both present. The method reveals many previously unidentified higher order relationships. These relationships illustrate the complexities that arise in cellular networks because of branching and alternate pathways, and they also facilitate assignment of cellular functions to uncharacterized proteins.

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Year:  2004        PMID: 15618515     DOI: 10.1126/science.1103330

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  43 in total

1.  Lasting impressions: motifs in protein-protein maps may provide footprints of evolutionary events.

Authors:  J Jeremy Rice; Aaron Kershenbaum; Gustavo Stolovitzky
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-22       Impact factor: 11.205

2.  Reconstructing the pathways of a cellular system from genome-scale signals by using matrix and tensor computations.

Authors:  Orly Alter; Gene H Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-28       Impact factor: 11.205

3.  Information-based clustering.

Authors:  Noam Slonim; Gurinder Singh Atwal; Gasper Tkacik; William Bialek
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-13       Impact factor: 11.205

Review 4.  Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.

Authors:  Philip R Kensche; Vera van Noort; Bas E Dutilh; Martijn A Huynen
Journal:  J R Soc Interface       Date:  2008-02-06       Impact factor: 4.118

5.  Protein annotation from protein interaction networks and Gene Ontology.

Authors:  Cao D Nguyen; Katheleen J Gardiner; Krzysztof J Cios
Journal:  J Biomed Inform       Date:  2011-05-06       Impact factor: 6.317

6.  Testing the accuracy of eukaryotic phylogenetic profiles for prediction of biological function.

Authors:  Saurav Singh; Dennis P Wall
Journal:  Evol Bioinform Online       Date:  2008-06-18       Impact factor: 1.625

7.  Asymmetric relationships between proteins shape genome evolution.

Authors:  Richard A Notebaart; Philip R Kensche; Martijn A Huynen; Bas E Dutilh
Journal:  Genome Biol       Date:  2009-02-12       Impact factor: 13.583

8.  Inference of functional relations in predicted protein networks with a machine learning approach.

Authors:  Beatriz García-Jiménez; David Juan; Iakes Ezkurdia; Eduardo Andrés-León; Alfonso Valencia
Journal:  PLoS One       Date:  2010-04-01       Impact factor: 3.240

9.  Microbial genotype-phenotype mapping by class association rule mining.

Authors:  Makio Tamura; Patrik D'haeseleer
Journal:  Bioinformatics       Date:  2008-05-08       Impact factor: 6.937

10.  Detecting coordinated regulation of multi-protein complexes using logic analysis of gene expression.

Authors:  Einat Sprinzak; Shawn J Cokus; Todd O Yeates; David Eisenberg; Matteo Pellegrini
Journal:  BMC Syst Biol       Date:  2009-12-14
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