Multiscale stochastic modelling of gene expression
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.
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.
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.
Springer
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