Computational approaches for modelling intrinsic noise and delays in genetic regulatory networks


Autoria(s): Barrio, Manuel; Burrage, Kevin; Burrage, Pamela; Leier, Andre; Marquez-Lago, Tatiana
Contribuinte(s)

Das, Sanjoy

Caragea, Doina

Welch, Stephen

Hsu, William H.

Data(s)

2010

Resumo

This chapter focuses on the interactions and roles between delays and intrinsic noise effects within cellular pathways and regulatory networks. We address these aspects by focusing on genetic regulatory networks that share a common network motif, namely the negative feedback loop, leading to oscillatory gene expression and protein levels. In this context, we discuss computational simulation algorithms for addressing the interplay of delays and noise within the signaling pathways based on biological data. We address implementational issues associated with efficiency and robustness. In a molecular biology setting we present two case studies of temporal models for the Hes1 gene (Monk, 2003; Hirata et al., 2002), known to act as a molecular clock, and the Her1/Her7 regulatory system controlling the periodic somite segmentation in vertebrate embryos (Giudicelli and Lewis, 2004; Horikawa et al., 2006).

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/45875/

Publicador

IGI Global

Relação

http://eprints.qut.edu.au/45875/1/Computational_Approaches_for_Modeling_Intrinsic_noise_and_delays_in_genetic_regulatory_networks.pdf

DOI:10.4018/978-1-60566-685-3.ch007

Barrio, Manuel, Burrage, Kevin, Burrage, Pamela, Leier, Andre, & Marquez-Lago, Tatiana (2010) Computational approaches for modelling intrinsic noise and delays in genetic regulatory networks. In Das, Sanjoy, Caragea, Doina, Welch, Stephen, & Hsu, William H. (Eds.) Handbook of Research on Computational Methodologies in Gene Regulatory Networks. IGI Global, Hershey PA, pp. 169-197.

Fonte

Computer Science; Faculty of Science and Technology; Mathematical Sciences

Tipo

Book Chapter