Literature DB >> 15003055

Computation in gene networks.

Asa Ben-Hur1, Hava T Siegelmann.   

Abstract

Genetic regulatory networks have the complex task of controlling all aspects of life. Using a model of gene expression by piecewise linear differential equations we show that this process can be considered as a process of computation. This is demonstrated by showing that this model can simulate memory bounded Turing machines. The simulation is robust with respect to perturbations of the system, an important property for both analog computers and biological systems. Robustness is achieved using a condition that ensures that the model equations, that are generally chaotic, follow a predictable dynamics. Copyright 2004 American Institute of Physics.

Mesh:

Year:  2004        PMID: 15003055     DOI: 10.1063/1.1633371

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  4 in total

1.  Robust dynamics in minimal hybrid models of genetic networks.

Authors:  Theodore J Perkins; Roy Wilds; Leon Glass
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-11-13       Impact factor: 4.226

2.  Plant behaviour in response to the environment: information processing in the solid state.

Authors:  Salva Duran-Nebreda; George W Bassel
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-10       Impact factor: 6.237

3.  Periodic synchronization of isolated network elements facilitates simulating and inferring gene regulatory networks including stochastic molecular kinetics.

Authors:  Johannes Hettich; J Christof M Gebhardt
Journal:  BMC Bioinformatics       Date:  2022-01-05       Impact factor: 3.169

4.  Implementing arithmetic and other analytic operations by transcriptional regulation.

Authors:  Sean M Cory; Theodore J Perkins
Journal:  PLoS Comput Biol       Date:  2008-05-09       Impact factor: 4.475

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.