Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Moritz von Stosch (Author) FEUP; Joana Peres (Author) FEUP; Sebastião Feyo de Azevedo (Author) FEUP; Rui Oliveira (Author) FEUP

Journal

Title: BMC Systems Biology

Vol. 4 No. 131

Pages: 1-131

ISSN: 1752-0509

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 8 Citations

ISI Web of Science

Scopus - 10 Citations

Scientific classification

FOS: Engineering and technology > Chemical engineering

Other information

Authenticus ID: P-003-2SN

DOI: 10.1186/1752-0509-4-131

Abstract (EN): Background: This paper presents a method for modelling dynamical biochemical networks with intrinsic time delays. Since the fundamental mechanisms leading to such delays are many times unknown, non conventional modelling approaches become necessary. Herein, a hybrid semi-parametric identification methodology is proposed in which discrete time series are incorporated into fundamental material balance models. This integration results in hybrid delay differential equations which can be applied to identify unknown cellular dynamics. Results: 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. Conclusions: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13