Compositionality, stochasticity and cooperativity in dynamic models of gene regulation

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dc.creatorBlossey, R.
dc.creatorCardelli, L.
dc.creatorPhillips, A.
dc.date2007-02-08
dc.date2007-10-09
dc.date.accessioned2026-07-07T08:34:50Z
dc.date.available2026-07-07T08:34:50Z
dc.descriptionWe present an approach for constructing dynamic models for the simulation of gene regulatory networks from simple computational elements. Each element is called a ``gene gate'' and defines an input/output-relationship corresponding to the binding and production of transcription factors. The proposed reaction kinetics of the gene gates can be mapped onto stochastic processes and the standard ode-description. While the ode-approach requires fixing the system's topology before its correct implementation, expressing them in stochastic pi-calculus leads to a fully compositional scheme: network elements become autonomous and only the input/output relationships fix their wiring. The modularity of our approach allows to pass easily from a basic first-level description to refined models which capture more details of the biological system. As an illustrative application we present the stochastic repressilator, an artificial cellular clock, which oscillates readily without any cooperative effects.
dc.description15 pages, 8 figures. Accepted by the HFSP journal (13/09/07)
dc.identifierhttps://arxiv.org/abs/q-bio/0702016
dc.identifierhttp://arxiv.org/abs/q-bio/0702016
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/139576
dc.subjectMolecular Networks
dc.titleCompositionality, stochasticity and cooperativity in dynamic models of gene regulation
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