Integrated modelling of biological systems is becoming a necessity for constructing models
containing the major biochemical processes of such systems in order to obtain a holistic …

The modelling of biological systems is accompanied with epistemic uncertainties that range
from structural uncertainty to parametric uncertainty due to such limitations as insufficient …

The simulation of immune response is a challenging task because quantitative data are
scarce. Quantitative theoretical models either focus on specific cell–cell interactions or have …

Recent studies have shown that the innate and adaptive immune system, together with low-
grade inflammation, may play an important role in essential hypertension. In this work, to …

Due to the complexity of the metabolic pathways, their modeling has been a great challenge
for the researchers. Various mathematical models have been developed and are continuing …

Integrated modelling of biological systems is challenged by composing components with
sufficient kinetic data and components with insufficient kinetic data or components built only …

Dynamic disease pathways are a combination of complex dynamical processes among bio-
molecules in a cell that leads to diseases. Network modeling of disease pathways considers …

Over the last twenty years, Petri nets have been increasingly adopted for modelling and
simulating biological systems, as they offer an intuitive and graphical approach for this …

Randomness and uncertainty are two major problems one faces while modeling nonlinear
dynamics of molecular systems. Stochastic and fuzzy methods are used to cope with these …

La capacité de réparation des tissus à la suite d'une lésion est essentielle à la survie de tous
les organismes. Ainsi, à la suite d'une lésion tissulaire, un mécanisme de réparation est …