Literature DB >> 11171956

Dynamic regulation of the tryptophan operon: a modeling study and comparison with experimental data.

M Santillan1, M C Mackey.   

Abstract

A mathematical model for regulation of the tryptophan operon is presented. This model takes into account repression, feedback enzyme inhibition, and transcriptional attenuation. Special attention is given to model parameter estimation based on experimental data. The model's system of delay differential equations is numerically solved, and the results are compared with experimental data on the temporal evolution of enzyme activity in cultures of Escherichia coli after a nutritional shift (minimal + tryptophan medium to minimal medium). Good agreement is obtained between the numeric simulations and the experimental results for wild-type E. coli, as well as for two different mutant strains.

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Year:  2001        PMID： 11171956      PMCID： PMC29262          DOI： 10.1073/pnas.98.4.1364

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


  14 in total

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Journal:  Biotechnol Bioeng       Date:  1990-01-20       Impact factor: 4.530

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Journal:  Proc Natl Acad Sci U S A       Date:  1997-02-04       Impact factor: 11.205

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Journal:  J Biol Chem       Date:  1986-01-05       Impact factor: 5.157

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Journal:  Proc Natl Acad Sci U S A       Date:  1978-12       Impact factor: 11.205

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Journal:  Biochemistry       Date:  1993-07-20       Impact factor: 3.162

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Journal:  J Bacteriol       Date:  1991-10       Impact factor: 3.490
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  26 in total

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5.  Topological units of environmental signal processing in the transcriptional regulatory network of Escherichia coli.

Authors:  G Balázsi; A-L Barabási; Z N Oltvai
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-20       Impact factor: 11.205

6.  Multiple feedback loop design in the tryptophan regulatory network of Escherichia coli suggests a paradigm for robust regulation of processes in series.

Authors:  Sharad Bhartiya; Nikhil Chaudhary; K V Venkatesh; Francis J Doyle
Journal:  J R Soc Interface       Date:  2006-06-22       Impact factor: 4.118

7.  Control of Streptococcus pyogenes virulence: modeling of the CovR/S signal transduction system.

Authors:  Alexander Y Mitrophanov; Gordon Churchward; Mark Borodovsky
Journal:  J Theor Biol       Date:  2006-11-21       Impact factor: 2.691

8.  Binding cooperativity in phage lambda is not sufficient to produce an effective switch.

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Journal:  Biophys J       Date:  2008-05-01       Impact factor: 4.033

9.  Integration of transcriptional inputs at promoters of the arabinose catabolic pathway.

Authors:  Carla J Davidson; Atul Narang; Michael G Surette
Journal:  BMC Syst Biol       Date:  2010-06-02

10.  On the functional diversity of dynamical behaviour in genetic and metabolic feedback systems.

Authors:  Lan K Nguyen; Don Kulasiri
Journal:  BMC Syst Biol       Date:  2009-05-11
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