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This integration results in hybrid delay differential equations which can be applied to identify unknown cellular dynamics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The proposed hybrid modelling methodology was evaluated using two case studies. The first of these deals with dynamic modelling of transcriptional factor A in mammalian cells. The protein transport from the cytosol to the nucleus introduced a delay that was accounted for by discrete time series formulation. The second case study focused on a simple network with distributed time delays that demonstrated that the discrete time delay formalism has broad applicability to both discrete and distributed delay problems.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Significantly better prediction qualities of the novel hybrid model were obtained when compared to dynamical structures without time delays, being the more distinctive the more significant the underlying system delay is. The identification of the system delays by studies of different discrete modelling delays was enabled by the proposed structure. Further, it was shown that the hybrid discrete delay methodology is not limited to discrete delay systems. The proposed method is a powerful tool to identify time delays in ill-defined biochemical networks.<\/jats:p><\/jats:sec>","DOI":"10.1186\/1752-0509-4-131","type":"journal-article","created":{"date-parts":[[2010,9,23]],"date-time":"2010-09-23T18:27:09Z","timestamp":1285266429000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach"],"prefix":"10.1186","volume":"4","author":[{"given":"Moritz","family":"von Stosch","sequence":"first","affiliation":[]},{"given":"Joana","family":"Peres","sequence":"additional","affiliation":[]},{"given":"Sebasti\u00e3o Feyo","family":"de Azevedo","sequence":"additional","affiliation":[]},{"given":"Rui","family":"Oliveira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,9,23]]},"reference":[{"key":"520_CR1","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1002\/(SICI)1097-0290(19971005)56:1<99::AID-BIT11>3.0.CO;2-5","volume":"56","author":"AJ Daugulis","year":"1997","unstructured":"Daugulis AJ, McLellan PJ, Li J: Experimental Investigation and Modeling of Oscillatory Behavior in the Continuous Culture of Zymomonas mobilis. 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