H2020Индивидуална стипендия2019–2021

AlgSignSen · The Algebraic Geometry of Chemical Reaction Networks: Structural conditions for uniquely determined Sign-sensitivities.

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2019-03-01 → 2021-08-28
Финансиране от ЕС
200 195 €
Участници
1
Схема
MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Алгебричната геометрия се използва за анализ на химични мрежи, като например взаимодействието между протеини в клетката. Това помага да се разберат състоянията на равновесие и как скоростта на реакциите влияе върху биологичните процеси.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

The Algebraic Geometry of Chemical Reaction Networks: Structural conditions for uniquely determined Sign-sensitivities.

Many biological processes of communication between cells, activation and deactivation of cellular processes and some regulatory processes can be modelled by means of dynamical systems, determined by the interaction of the species involved in each process. These species can be, for instance, different molecules or proteins. The interactions between them can be represented by directed graphs which are known in the biochemical context as Reaction Networks (RNs) [F]. The project AlgSignSen was designed to introduce some new ideas from Algebraic Geometry to the study of RNs, and in particular to the sensitivity analysis at steady state. As an example, the following RN represents a possible way of interaction between two species, A and B: A+B→2B B→A Equations that describe the evolution of such a process can be given, in terms of the concentrations of the species involved and some constants called reaction rate parameters. These rates carry information about the speed at which the system evolves. Interesting information about this evolution can be obtained by looking at the states (concentrations) in which the system is in equilibrium, the so-called steady states. Under certain assumptions, these states are the common solutions of a finite collection of polynomial equations, where the variables encode the concentrations of species and the coefficients depend on the reaction rates. For the former network, we can obtain the polynomial equations -k_1 ab+k_2 b=0, k_1 ab-k_2 b=0. The set of common solutions to these equations can be seen as a geometrical object, and geometrical objects which are defined by polynomial equations are the subject of study of Algebraic Geometry. The subset of those solutions which correspond to positive concentrations is called the positive steady state variety. The steady state (or states) that can be reached by a system depends on the initial concentrations of the involved species: the initial amounts of the species evolve according to the specific dynamics of the system, and eventually reach a steady state. Different initial concentrations lead, under the same environmental conditions, to different steady states. An interesting question is: how do small changes in the initial concentrations affect the steady state reached in each case? This is what we refer to as the sensitivity of the system to (small) perturbations of the initial concentrations. A species X can see its concentration at steady state increased, decreased or untouched by the effect of a perturbation. This is the kind of sensitivities that we have investigated in the AlgSignSen project. When X is not affected (at steady state) by any perturbation of initial concentrations, we say that the system has zero sensitivity for X. [F] M. Feinberg. Foundations of Chemical Reaction Network Theory, Applied Mathematical Sciences, 202. Springer International Publishing, 2019

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Chemical Reaction Network Theory (CRNT) focuses on determining the dynamical behavior of a (chemical) reaction network from its structural properties. To this end, different approaches within different areas of Mathematics are employed. We use here an algebraic geometric approach: The evolution of the concentrations of the species is modelled by a system of ordinary differential equations (ODEs). Under mass-action kinetics, the ODEs are polynomial, and thus the relevant steady states are the nonnegative solutions of a system of polynomial equations, which can be regarded as the nonnegative part of an algebraic variety (involving unknown parameters).This project addresses the problem of determining sign-sensitivities, that is, whether the concentration of one species at steady state increases/decreases after a perturbation is applied to the system. In particular, we wonder under which structural conditions are sign-sensitivities independent of the parameters of the system and of the original steady state.The novelty of this proposal resides in that we do not aim at developing algorithms for finding sign-sensitivities, but at obtaining theorems that explain why and when some sign-sensitivities are uniquely determined. The results will allow potential users to manipulate large networks without knowing all the parameters and overcomes the uncertainty of current algorithms arising from having to choose parameter values.I will use my background in Algebraic Geometry to begin a research career in Applied Algebraic Geometry. I will acquire new competences in interdisciplinary research and intersectorial transference of science, and improve my skills in communication and project management. I will work under the mentorship of Elisenda Feliu, in the group Mathematics of Reaction Networks. Due to their resources, experience and knowledge, they represent the perfect environment for the transition from Pure to Applied Mathematics, and in particular for my training in CRNT.

Оригинален текст от CORDIS (на английски).

Участници

  • KOBENHAVNS UNIVERSITET · KOBENHAVNКоординаторДания

Връзки

Данни: CORDIS, © Европейски съюз