Literature DB >> 16714341

Mathematical description of gene regulatory units.

Reiko J Tanaka1, Hiroyuki Okano, Hidenori Kimura.   

Abstract

Revealing the control mechanisms responsible for the cell's surprisingly well-organized functions should lead directly to a better understanding of how the cell adapts to extraordinarily changing environments. A general framework for describing models that can represent diverse biochemical regulatory functions systematically would help not only systematic interpretation of the various models proposed for certain systems but also further understanding of the general control mechanism and design principles underlying different biological systems. This article presents a unified mathematical framework for describing gene regulatory units. The proposed framework is fairly compatible with the classical control theoretical framework, so it should serve as a connecting bridge between engineering control theory and biological control mechanisms. It should also provide a unified view of different regulatory units and facilitate systematic comparison of different mathematical models proposed in a variety of literature.

Mesh:

Year:  2006        PMID: 16714341      PMCID: PMC1518624          DOI: 10.1529/biophysj.106.081828

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  33 in total

1.  Cell signaling pathways as control modules: complexity for simplicity?

Authors:  D A Lauffenburger
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

Review 2.  Regulation of the L-arabinose operon of Escherichia coli.

Authors:  R Schleif
Journal:  Trends Genet       Date:  2000-12       Impact factor: 11.639

Review 3.  Modeling transcriptional regulatory networks.

Authors:  Hamid Bolouri; Eric H Davidson
Journal:  Bioessays       Date:  2002-12       Impact factor: 4.345

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Journal:  J Biol Chem       Date:  2003-01-29       Impact factor: 5.157

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Authors:  A LWOFF
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6.  Influence of catabolite repression and inducer exclusion on the bistable behavior of the lac operon.

Authors:  Moisés Santillán; Michael C Mackey
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

7.  Understanding biology by reverse engineering the control.

Authors:  Claire J Tomlin; Jeffrey D Axelrod
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-14       Impact factor: 11.205

8.  Quantitative model for gene regulation by lambda phage repressor.

Authors:  G K Ackers; A D Johnson; M A Shea
Journal:  Proc Natl Acad Sci U S A       Date:  1982-02       Impact factor: 11.205

9.  Circuit simulation of genetic networks.

Authors:  H H McAdams; L Shapiro
Journal:  Science       Date:  1995-08-04       Impact factor: 47.728

10.  Detailed map of a cis-regulatory input function.

Authors:  Y Setty; A E Mayo; M G Surette; U Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-12       Impact factor: 11.205

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  5 in total

1.  Comparison of deterministic and stochastic models of the lac operon genetic network.

Authors:  Michail Stamatakis; Nikos V Mantzaris
Journal:  Biophys J       Date:  2009-02       Impact factor: 4.033

2.  Optimal control of gene mutation in DNA replication.

Authors:  Juanyi Yu; Jr-Shin Li; Tzyh-Jong Tarn
Journal:  J Biomed Biotechnol       Date:  2012-01-22

3.  Dose response relationship in anti-stress gene regulatory networks.

Authors:  Qiang Zhang; Melvin E Andersen
Journal:  PLoS Comput Biol       Date:  2006-12-22       Impact factor: 4.475

4.  "Genes".

Authors:  Sonja J Prohaska; Peter F Stadler
Journal:  Theory Biosci       Date:  2008-03-05       Impact factor: 1.919

5.  Increasing the efficiency of bacterial transcription simulations: when to exclude the genome without loss of accuracy.

Authors:  Marco A J Iafolla; Guang Qiang Dong; David R McMillen
Journal:  BMC Bioinformatics       Date:  2008-09-12       Impact factor: 3.169

  5 in total

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