Literature DB >> 7624793

Circuit simulation of genetic networks.

H H McAdams1, L Shapiro.   

Abstract

Genetic networks with tens to hundreds of genes are difficult to analyze with currently available techniques. Because of the many parallels in the function of these biochemically based genetic circuits and electrical circuits, a hybrid modeling approach is proposed that integrates conventional biochemical kinetic modeling within the framework of a circuit simulation. The circuit diagram of the bacteriophage lambda lysislysogeny decision circuit represents connectivity in signal paths of the biochemical components. A key feature of the lambda genetic circuit is that operons function as active integrated logic components and introduce signal time delays essential for the in vivo behavior of phage lambda.

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Year:  1995        PMID: 7624793     DOI: 10.1126/science.7624793

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


  74 in total

Review 1.  Molecular interaction map of the mammalian cell cycle control and DNA repair systems.

Authors:  K W Kohn
Journal:  Mol Biol Cell       Date:  1999-08       Impact factor: 4.138

2.  Noise-based switches and amplifiers for gene expression.

Authors:  J Hasty; J Pradines; M Dolnik; J J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-29       Impact factor: 11.205

Review 3.  Escherichia coli and Salmonella 2000: the view from here.

Authors:  M Schaechter
Journal:  Microbiol Mol Biol Rev       Date:  2001-03       Impact factor: 11.056

4.  Effects of Escherichia coli physiology on growth of phage T7 in vivo and in silico.

Authors:  Lingchong You; Patrick F Suthers; John Yin
Journal:  J Bacteriol       Date:  2002-04       Impact factor: 3.490

5.  Complexity in biological signaling systems.

Authors:  G Weng; U S Bhalla; R Iyengar
Journal:  Science       Date:  1999-04-02       Impact factor: 47.728

6.  Feedback regulation in the lactose operon: a mathematical modeling study and comparison with experimental data.

Authors:  Necmettin Yildirim; Michael C Mackey
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

7.  Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.

Authors:  Moisés Santillán; Michael C Mackey
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

8.  Distributed biological computation with multicellular engineered networks.

Authors:  Sergi Regot; Javier Macia; Núria Conde; Kentaro Furukawa; Jimmy Kjellén; Tom Peeters; Stefan Hohmann; Eulàlia de Nadal; Francesc Posas; Ricard Solé
Journal:  Nature       Date:  2010-12-08       Impact factor: 49.962

9.  Stability of CII is a key element in the cold stress response of bacteriophage lambda infection.

Authors:  M Obuchowski; Y Shotland; S Koby; H Giladi; M Gabig; G Wegrzyn; A B Oppenheim
Journal:  J Bacteriol       Date:  1997-10       Impact factor: 3.490

10.  A gene regulatory network model for cell-fate determination during Arabidopsis thaliana flower development that is robust and recovers experimental gene expression profiles.

Authors:  Carlos Espinosa-Soto; Pablo Padilla-Longoria; Elena R Alvarez-Buylla
Journal:  Plant Cell       Date:  2004-10-14       Impact factor: 11.277

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