Literature DB >> 15037758

The yeast cell-cycle network is robustly designed.

Fangting Li1, Tao Long, Ying Lu, Qi Ouyang, Chao Tang.   

Abstract

The interactions between proteins, DNA, and RNA in living cells constitute molecular networks that govern various cellular functions. To investigate the global dynamical properties and stabilities of such networks, we studied the cell-cycle regulatory network of the budding yeast. With the use of a simple dynamical model, it was demonstrated that the cell-cycle network is extremely stable and robust for its function. The biological stationary state, the G1 state, is a global attractor of the dynamics. The biological pathway, the cell-cycle sequence of protein states, is a globally attracting trajectory of the dynamics. These properties are largely preserved with respect to small perturbations to the network. These results suggest that cellular regulatory networks are robustly designed for their functions.

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Year:  2004        PMID: 15037758      PMCID: PMC387325          DOI: 10.1073/pnas.0305937101

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


  23 in total

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Authors:  S Huang; D E Ingber
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Authors:  Sergei Maslov; Kim Sneppen
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Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
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Review 4.  Evolvability.

Authors:  M Kirschner; J Gerhart
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5.  Robustness in bacterial chemotaxis.

Authors:  U Alon; M G Surette; N Barkai; S Leibler
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6.  Emergence of preferred structures in a simple model of protein folding.

Authors:  H Li; R Helling; C Tang; N Wingreen
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7.  Biological populations with nonoverlapping generations: stable points, stable cycles, and chaos.

Authors:  R M May
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8.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

9.  Towards a network theory of the immune system.

Authors:  N K Jerne
Journal:  Ann Immunol (Paris)       Date:  1974-01

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Authors:  P T Spellman; G Sherlock; M Q Zhang; V R Iyer; K Anders; M B Eisen; P O Brown; D Botstein; B Futcher
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  297 in total

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