Stochastic binary modeling of cells in continuous time as an alternative to biochemical reaction equations

Shunsuke Teraguchi, Yutaro Kumagai, Alexis Vandenbon, Shizuo Akira, Daron M. Standley

研究成果: Article査読

4 被引用数 (Scopus)

抄録

We have developed a coarse-grained formulation for modeling the dynamic behavior of cells quantitatively, based on stochasticity and heterogeneity, rather than on biochemical reactions. We treat each reaction as a continuous-time stochastic process, while reducing each biochemical quantity to a binary value at the level of individual cells. The system can be analytically represented by a finite set of ordinary linear differential equations, which provides a continuous time course prediction of each molecular state. Here we introduce our formalism and demonstrate it with several examples.

本文言語English
論文番号062903
ジャーナルPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
84
6
DOI
出版ステータスPublished - 2011 12月 15

ASJC Scopus subject areas

  • 統計物理学および非線形物理学
  • 統計学および確率
  • 凝縮系物理学

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