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  • 标题:On the applicability of deterministic approximations to model genetic circuits * * This work has been partially supported by Ministerio de Economia y Competitividad AGL2012-39951-C02-01. M. Pájaro acknowledge support from grant BES-2013-063112.
  • 本地全文:下载
  • 作者:M. Pájaro ; A.A. Alonso
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:7
  • 页码:206-211
  • DOI:10.1016/j.ifacol.2016.07.251
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Theoretical results and simulations support the idea that deterministic models provide an acceptable description only for large numbers of molecules. In the context of GRN, which usually involve a small number of molecules, such arguments might lead to disregard deterministic models as unsuitable representations. We found, however, strong evidences that justify their use to model self-regulatory genetic circuits, even for small number of molecules. In fact, we show that under some conditions, a stochastic system showing a switching-like behaviour (manifested on a bimodal distribution) nearly coincides with a deterministic counterpart exhibiting bistability. Moreover, and contrary to what it might be expected, we find situations involving large numbers of molecules where the deterministic model results into a poor approximation. The analysis and methods presented are expected to help selecting the most adequate system’s representation.
  • 关键词:Gene circuitsmathematical modelsbiochemical switchesbistabilitystochastic systemsmodel reduction
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