FR

EN

Homepage Inria website
  • Inria login
  • The Inria's Research Teams produce an annual Activity Report presenting their activities and their results of the year. These reports include the team members, the scientific program, the software developed by the team and the new results of the year. The report also describes the grants, contracts and the activities of dissemination and teaching. Finally, the report gives the list of publications of the year.

  • Legal notice
  • Cookie management
  • Personal data
  • Cookies



Section: New Results

Conservative approximation of systems of differential equations

We design a tools-kit to reason and abstract the solutions of the systems of differential equations that are described in high-level languages. Our abstractions are conservative in the sense that they provided sound lower and upper bounds for the value of some observables of the system. Our approach consists, firstly, in inferring structural equalities about combinations of variables and structural inequalities about the value of variable derivatives thanks to symbolic reasoning at the level of the languages and, then, in using these numerical constraints to infer two differential equations for the variables of interest — one for the lower bound and one for the upper bound.

We focus on the systems of equations that are described in Kappa. Our goal is to provide a unifying framework that can deal with heterogeneous kinds of abstractions, including truncation, time- and concentration-scale separations, flow-based reduction, symmetries-based reduction.

Approximation of models of polymers

Participants : Ken Chanseau Saint-Germain, Jérôme Feret [correspondant] .

We propose a systematic approach to approximate the behavior of models of polymers synthesis/degradation, described in Kappa. Our abstraction consists in focusing on the behavior of all the patterns of size less than a given parameter. We infer symbolic equalities and inequalities which intentionally may be understood as algebraic constructions over patterns, and extensionally as sound properties about the concentration of the bio-molecular species that contain these patterns. Then, we derive a system of equations describing the time evolution of a lower and an upper bounds for the concentration of each pattern of interest.

This work has been presented at VEMDP 2018 (Verification of Engineered Molecular Devices and Programs), in Oxford, 19th July 2018, and at the days “BIOS-IA” of the working group BIOSS, at Pasteur Institute, Paris, 18th December 2018.

Approximation based on time- and/or concentration-scale separation

Participants : Andreea Beica, Jérôme Feret [correspondant] .

In [20], we have designed and tested an approximation method for ODE models of biochemical reaction systems, in which the guarantees are our major requirement. Borrowing from tropical analysis techniques, we look at the dominance relations among terms of each species' ODE. These dominance relations can be exploited to simplify the original model, by neglecting the dominated terms. As the dominant subsystems can change during the system's dynamics, depending on which species dominate the others, several possible modes exist. Thus, simpler models consisting of only the dominant subsystems can be assembled into hybrid, piece-wise smooth models, which approximate the behavior of the initial system. By combining the detection of dominated terms with symbolic bounds propagation, we show how to approximate the original model by an assembly of simpler models, consisting in ordinary differential equations that provide time-dependent lower and upper bounds for the concentrations of the initial models species. The utility of our method is twofold. On the one hand, it provides a reduction heuristics that performs without any prior knowledge of the initial system's behavior (i.e., no simulation of the initial system is needed in order to reduce it). On the other hand, our method provides sound interval bounds for each species, and hence can serve to evaluate the faithfulness of tropicalization reduction heuristics for ODE models of biochemical reduction systems. The method is tested on several case studies.