title: Multiscale stochastic modelling of gene expression.
abstract: Stochastic phenomena in gene regulatory networks can be modelled by the chemical master equation for gene products such as mRNA and proteins. If some of these elements are present in significantly higher amounts than the rest, or if some of the reactions between these elements are substantially faster than others, it is often possible to reduce the master equation to a simpler problem using asymptotic methods. We present examples of such a procedure and analyse the relationship between the reduced models and the original.
authors: Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, UK. pavol.bokes@fmph.uniba.sk
authors: Pavol
authors: P
authors: Bokes
authors: John R
authors: JR
authors: King
authors: Andrew T A
authors: AT
authors: Wood
authors: Matthew
authors: M
authors: Loose
mesh_terms: D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D007700:Kinetics; D008957:Models, Genetic; D009716:Numerical Analysis, Computer-Assisted; D014176:Protein Biosynthesis; D012333:RNA, Messenger / Q000235:genetics; D013269:Stochastic Processes
chemical_list: D012333:RNA, Messenger