Statistical Techniques Complement UML When Developing Domain Models of Complex Dynamical Biosystems

Computational modelling and simulation is increasingly being used to complement traditional wet-lab techniques when investigating the mechanistic behaviours of complex biological systems. In order to ensure computational models are fit for purpose, it is essential that the abstracted view of biology captured in the computational model, is clearly and unambiguously defined within a conceptual model of the biological domain (a domain model), that acts to accurately represent the biological system and to document the functional requirements for the resultant computational model. We present a domain model of the IL-1 stimulated NF-κB signalling pathway, which unambiguously defines the spatial, temporal and stochastic requirements for our future computational model. Through the development of this model, we observe that, in isolation, UML is not sufficient for the purpose of creating a domain model, and that a number of descriptive and multivariate statistical techniques provide complementary perspectives, in particular when modelling the heterogeneity of dynamics at the single-cell level. We believe this approach of using UML to define the structure and interactions within a complex system, along with statistics to define the stochastic and dynamic nature of complex systems, is crucial for ensuring that conceptual models of complex dynamical biosystems, which are developed using UML, are fit for purpose, and unambiguously define the functional requirements for the resultant computational model

The effect of harvest time on the accumulation of reducing sugars during storage of potato (Solanum tuberosum L.) tubers: Experimental data described, using a physiological based, mathematical model

The physiological based mathematical model describing the storage behaviour of potato (Solanum tuberosum) tubers was examined to determine its ability to explain the changing storage behaviour as a function of harvest time for ten different cultivars. Between 90 to 98% of the observed variance was accounted for. This confirmed the models concept that the maturity at time of harvest determines the storage behaviour through the initial amount of the enzyme (or enzyme system) responsible for cold induced sweetening.status: publishe

Quality and safety models and optimization as part of computer-integrated manufacturing

7 páginas, 3 figurasMathematical models are the basis of modern process engineering methods. Mathematical optimization is at the kernel of systematic and efficient tools for (1) experimental design, model development, and identification, (2) development of optimal operating procedures, and (3) implementation of those procedures by means of model-predictive controllers. Here, we review and discuss how these model-based optimization techniques can be used at the core of computer-integrated manufacturing systems for the food industry. These systems will be able to bring the operation of food processing plants closer to the best possible product quality and safety, at a reduced cost and with minimal environmental impactPeer reviewe