Literature DB >> 19045817

Network integration and graph analysis in mammalian molecular systems biology.

A Ma'ayan1.   

Abstract

Abstraction of intracellular biomolecular interactions into networks is useful for data integration and graph analysis. Network analysis tools facilitate predictions of novel functions for proteins, prediction of functional interactions and identification of intracellular modules. These efforts are linked with drug and phenotype data to accelerate drug-target and biomarker discovery. This review highlights the currently available varieties of mammalian biomolecular networks, and surveys methods and tools to construct, compare, integrate, visualise and analyse such networks.

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Year:  2008        PMID: 19045817      PMCID: PMC2745214          DOI: 10.1049/iet-syb:20070075

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  203 in total

1.  Systems biology and new technologies enable predictive and preventative medicine.

Authors:  Leroy Hood; James R Heath; Michael E Phelps; Biaoyang Lin
Journal:  Science       Date:  2004-10-22       Impact factor: 47.728

2.  UML as a cell and biochemistry modeling language.

Authors:  Ken Webb; Tony White
Journal:  Biosystems       Date:  2005-02-17       Impact factor: 1.973

3.  Detecting functional modules in the yeast protein-protein interaction network.

Authors:  Jingchun Chen; Bo Yuan
Journal:  Bioinformatics       Date:  2006-07-12       Impact factor: 6.937

4.  Discovering disease-genes by topological features in human protein-protein interaction network.

Authors:  Jianzhen Xu; Yongjin Li
Journal:  Bioinformatics       Date:  2006-09-05       Impact factor: 6.937

5.  Comparing classical pathways and modern networks: towards the development of an edge ontology.

Authors:  Long J Lu; Andrea Sboner; Yuanpeng J Huang; Hao Xin Lu; Tara A Gianoulis; Kevin Y Yip; Philip M Kim; Gaetano T Montelione; Mark B Gerstein
Journal:  Trends Biochem Sci       Date:  2007-06-20       Impact factor: 13.807

Review 6.  The model organism as a system: integrating 'omics' data sets.

Authors:  Andrew R Joyce; Bernhard Ø Palsson
Journal:  Nat Rev Mol Cell Biol       Date:  2006-03       Impact factor: 94.444

7.  Evaluation of clustering algorithms for protein-protein interaction networks.

Authors:  Sylvain Brohée; Jacques van Helden
Journal:  BMC Bioinformatics       Date:  2006-11-06       Impact factor: 3.169

8.  Predicting protein function from protein/protein interaction data: a probabilistic approach.

Authors:  Stanley Letovsky; Simon Kasif
Journal:  Bioinformatics       Date:  2003       Impact factor: 6.937

9.  Atlas - a data warehouse for integrative bioinformatics.

Authors:  Sohrab P Shah; Yong Huang; Tao Xu; Macaire M S Yuen; John Ling; B F Francis Ouellette
Journal:  BMC Bioinformatics       Date:  2005-02-21       Impact factor: 3.169

10.  GOLD.db: genomics of lipid-associated disorders database.

Authors:  Hubert Hackl; Michael Maurer; Bernhard Mlecnik; Jürgen Hartler; Gernot Stocker; Diego Miranda-Saavedra; Zlatko Trajanoski
Journal:  BMC Genomics       Date:  2004-12-10       Impact factor: 3.969

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  19 in total

Review 1.  Tools for protein-protein interaction network analysis in cancer research.

Authors:  Rebeca Sanz-Pamplona; Antoni Berenguer; Xavier Sole; David Cordero; Marta Crous-Bou; Jordi Serra-Musach; Elisabet Guinó; Miguel Ángel Pujana; Víctor Moreno
Journal:  Clin Transl Oncol       Date:  2012-01       Impact factor: 3.405

Review 2.  Toward a complete in silico, multi-layered embryonic stem cell regulatory network.

Authors:  Huilei Xu; Christoph Schaniel; Ihor R Lemischka; Avi Ma'ayan
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Nov-Dec

Review 3.  Systems biology of kidney diseases.

Authors:  John Cijiang He; Peter Y Chuang; Avi Ma'ayan; Ravi Iyengar
Journal:  Kidney Int       Date:  2011-08-31       Impact factor: 10.612

Review 4.  Visualization of omics data for systems biology.

Authors:  Nils Gehlenborg; Seán I O'Donoghue; Nitin S Baliga; Alexander Goesmann; Matthew A Hibbs; Hiroaki Kitano; Oliver Kohlbacher; Heiko Neuweger; Reinhard Schneider; Dan Tenenbaum; Anne-Claude Gavin
Journal:  Nat Methods       Date:  2010-03       Impact factor: 28.547

Review 5.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

6.  Protein kinase target discovery from genome-wide messenger RNA expression profiling.

Authors:  Avi Ma'ayan; John C He
Journal:  Mt Sinai J Med       Date:  2010 Jul-Aug

7.  Steiner tree methods for optimal sub-network identification: an empirical study.

Authors:  Afshin Sadeghi; Holger Fröhlich
Journal:  BMC Bioinformatics       Date:  2013-04-30       Impact factor: 3.169

Review 8.  Computational approaches for translational clinical research in disease progression.

Authors:  Mary F McGuire; Madurai Sriram Iyengar; David W Mercer
Journal:  J Investig Med       Date:  2011-08       Impact factor: 2.895

9.  A quick guide to large-scale genomic data mining.

Authors:  Curtis Huttenhower; Oliver Hofmann
Journal:  PLoS Comput Biol       Date:  2010-05-27       Impact factor: 4.475

10.  Lists2Networks: integrated analysis of gene/protein lists.

Authors:  Alexander Lachmann; Avi Ma'ayan
Journal:  BMC Bioinformatics       Date:  2010-02-12       Impact factor: 3.169

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