Numerically Efficient Analysis of a One-Dimensional Stochastic Lac Operon Model


AVCU N., Pekergin N., Pekergin F., GÜZELİŞ C.

30th International Symposium on Computer and Information Sciences (ISCIS), London, Kanada, 21 - 24 Eylül 2015, cilt.363, ss.261-271 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 363
  • Doi Numarası: 10.1007/978-3-319-22635-4_24
  • Basıldığı Şehir: London
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.261-271
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Gene expression models and their analysis play a key role to understand gene regulation mechanisms. The lac operon mechanism has been largely studied to analyze its bistable behavior. In this paper a stochastic quasi steady-state lac operon model which is indeed a one dimensional birth-death process is considered. Nevertheless the well known closed-from solutions, due to the nonlinearity of parameters, the intermediate computed values become out of the representation range with the increase of the state space size. An aggregation-based two step algorithm is proposed to compute the steady-state distribution efficiently. The results of the stochastic model give the same parameter range for the bistable behavior as with the deterministic ODE model.