Literature DB >> 16239464

Systems biology. Less is more in modeling large genetic networks.

Stefan Bornholdt1.   

Abstract

Mesh:

Year:  2005        PMID: 16239464     DOI: 10.1126/science.1119959

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


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  72 in total

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Review 2.  Dynamical systems approach to endothelial heterogeneity.

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3.  Topology of biological networks and reliability of information processing.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-08       Impact factor: 11.205

Review 4.  From components to regulatory motifs in signalling networks.

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Review 5.  The cognitive phenotype of Down syndrome: insights from intracellular network analysis.

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Journal:  NeuroRx       Date:  2006-07

6.  Gene expression dynamics in the macrophage exhibit criticality.

Authors:  Matti Nykter; Nathan D Price; Maximino Aldana; Stephen A Ramsey; Stuart A Kauffman; Leroy E Hood; Olli Yli-Harja; Ilya Shmulevich
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

Review 7.  Fluxomics: mass spectrometry versus quantitative imaging.

Authors:  Wolfgang Wiechert; Oliver Schweissgut; Hitomi Takanaga; Wolf B Frommer
Journal:  Curr Opin Plant Biol       Date:  2007-05-03       Impact factor: 7.834

8.  A robust structural PGN model for control of cell-cycle progression stabilized by negative feedbacks.

Authors:  Nestor Walter Trepode; Hugo Aguirre Armelin; Michael Bittner; Junior Barrera; Marco Dimas Gubitoso; Ronaldo Fumio Hashimoto
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

Review 9.  Network integration and graph analysis in mammalian molecular systems biology.

Authors:  A Ma'ayan
Journal:  IET Syst Biol       Date:  2008-09       Impact factor: 1.615

10.  A top-down approach to mechanistic biological modeling: application to the single-chain antibody folding pathway.

Authors:  Scott Hildebrandt; David Raden; Linda Petzold; Anne Skaja Robinson; Francis J Doyle
Journal:  Biophys J       Date:  2008-07-18       Impact factor: 4.033

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