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Mathematics of Reaction Networks
เข้าร่วมเมื่อ 9 พ.ย. 2020
This channel is to share the recorded talks of the seminar "Mathematics of Reaction Networks": researchseminars.org/seminar/MoRN
This seminar series focuses on progress in mathematical theory for the study of reaction networks, mainly in biology and chemistry. The scope is broad and accommodates works arising from dynamical systems, stochastics, algebra, topology and beyond.
The seminar runs twice a month, on the 2nd and 4th Thursday of the month. Each session consists of two 25-minute talks followed by 5-minute questions. After the two talks, longer discussions will take place for those interested.
This seminar series focuses on progress in mathematical theory for the study of reaction networks, mainly in biology and chemistry. The scope is broad and accommodates works arising from dynamical systems, stochastics, algebra, topology and beyond.
The seminar runs twice a month, on the 2nd and 4th Thursday of the month. Each session consists of two 25-minute talks followed by 5-minute questions. After the two talks, longer discussions will take place for those interested.
MoRN Seminar: Atsushi Mochizuki (Kyoto University), Nov 21, 2024
Biological functions and functional modules originated in structure of chemical reaction network
Abstract: In living cells, chemical reactions are connected by sharing their products and substrates, and form a complex network system. Biological functions arise from the dynamics of chemical reaction networks, and are regulated by changes in the amount/activity of enzymes that catalyze reactions in the system. In this talk, I will introduce our recent theoretical approach to determine the behaviors of chemical reaction systems caused by changes in the amount/activity of enzymes, based solely on network topology. (1) We found that the qualitative response of chemical concentrations (and reaction fluxes) to changes in enzyme amount/activity can be determined from the network structure alone. (2) Non-zero responses are localized to finite ranges in a network, and each range is determined by a subnetwork called a “buffering structure”. The buffering structure is defined by the following equation from local topology of a network 𝜒≔−(# of chemicals)+(# of reactions)−(# of cycles)+(# of conserved quantities)=0 where the index 𝜒 is analogous to the Euler characteristic. We proved that any perturbation of a reaction parameter inside a buffering structure only affects the concentrations and fluxes inside the buffering structure, and does not affect the concentrations and fluxes outside. Finally, (3) buffering structures govern the bifurcation of the steady state of a reaction network. The bifurcation behaviors are localized to finite regions within a network, and these regions are again determined by buffering structures. These results imply that the buffering structures may be the origin of the modularity of biological functions derived from reaction networks. We applied this method to the cell cycle system and demonstrated that the regulation of different checkpoints is achieved by buffering structures.
References:
- Mochizuki A. & Fiedler B. (2015) J. Theor. Biol. 367, 189-202.
- Okada T. & Mochizuki A. (2016) Phys. Rev. Lett. 117, 048101
- Okada T. & Mochizuki A. (2017) Phys. Rev. E 96, 022322
- Yamauchi, Hishida, Okada, Mochizuki (2024) Phys. Rev. Research 6, 023150
- Yamauchi, et al. (In preparation)
Abstract: In living cells, chemical reactions are connected by sharing their products and substrates, and form a complex network system. Biological functions arise from the dynamics of chemical reaction networks, and are regulated by changes in the amount/activity of enzymes that catalyze reactions in the system. In this talk, I will introduce our recent theoretical approach to determine the behaviors of chemical reaction systems caused by changes in the amount/activity of enzymes, based solely on network topology. (1) We found that the qualitative response of chemical concentrations (and reaction fluxes) to changes in enzyme amount/activity can be determined from the network structure alone. (2) Non-zero responses are localized to finite ranges in a network, and each range is determined by a subnetwork called a “buffering structure”. The buffering structure is defined by the following equation from local topology of a network 𝜒≔−(# of chemicals)+(# of reactions)−(# of cycles)+(# of conserved quantities)=0 where the index 𝜒 is analogous to the Euler characteristic. We proved that any perturbation of a reaction parameter inside a buffering structure only affects the concentrations and fluxes inside the buffering structure, and does not affect the concentrations and fluxes outside. Finally, (3) buffering structures govern the bifurcation of the steady state of a reaction network. The bifurcation behaviors are localized to finite regions within a network, and these regions are again determined by buffering structures. These results imply that the buffering structures may be the origin of the modularity of biological functions derived from reaction networks. We applied this method to the cell cycle system and demonstrated that the regulation of different checkpoints is achieved by buffering structures.
References:
- Mochizuki A. & Fiedler B. (2015) J. Theor. Biol. 367, 189-202.
- Okada T. & Mochizuki A. (2016) Phys. Rev. Lett. 117, 048101
- Okada T. & Mochizuki A. (2017) Phys. Rev. E 96, 022322
- Yamauchi, Hishida, Okada, Mochizuki (2024) Phys. Rev. Research 6, 023150
- Yamauchi, et al. (In preparation)
มุมมอง: 8
วีดีโอ
MoRN Seminar: Wasiur Khuda Bukhsh (University of Nottingham), November 7, 2024
มุมมอง 4214 วันที่ผ่านมา
Enzyme kinetic reactions as interacting particle systems: Stochastic averaging and parameter inference Abstract: In this talk, I will consider a stochastic model of multistage Michaelis Menten (MM) type enzyme kinetic reactions describing the conversion of substrate molecules to a product through several intermediate species. The high-dimensional, multiscale nature of these reaction networks pr...
MoRN Seminar: Máté Telek (University of Copenhagen), April 13, 2023
มุมมอง 49ปีที่แล้ว
New results on the (dis)connectivity of the parameter region of multistationarity Abstract: Despite recent developments, describing the set of parameters that enable multistationarity in a reaction network is a challenging problem. Under certain assumptions on the network, one can associate a critical polynomial to the network that gives information about multistationarity. Especially, if the p...
MoRN Seminar: Carsten Conradi (HTW Berlin), April 13, 2023
มุมมอง 48ปีที่แล้ว
Monomial parameterizations and the dynamics of biochemical reaction networks Abstract: The dynamics of biochemical reaction networks can be described by ODEs with polynomial right hand side. Due to high measurement uncertainty, few experimental repetitions and a limited number of measurable components, parameters are subject to high uncertainty and can vary in large intervals. One therefore eff...
MoRN Seminar: Alexandru Hening (Texas A&M University), March 23, 2023
มุมมอง 73ปีที่แล้ว
Population dynamics under environmental and demographic stochasticity Abstract: This work looks at the long term dynamics of diffusion processes modelling a single species that experiences both demographic and environmental stochasticity. In this setting, the long term dynamics of the population in the absence of demographic stochasticity is determined by the sign of $Λ_0$, the external Lyapuno...
MoRN Seminar: Jianhua Xing (University of Pittsburgh), March 23, 2023
มุมมอง 89ปีที่แล้ว
Reconstructing cellular dynamics from single cell data Abstract: A grand challenge in single cell studies is to construct a quantitative, predictive, and genome-wide mathematical model describing cellular dynamics. Single-cell (sc)RNA-seq, together with RNA velocity and metabolic labeling, reveals cellular states and transitions at unprecedented resolution. A frontier of research is how to extr...
MoRN Seminar: Miruna-Stefana Sorea (SISSA), March 9, 2023
มุมมอง 240ปีที่แล้ว
Disguised toric dynamical systems Abstract: We study families of polynomial dynamical systems inspired by biochemical reaction networks. We focus on complex balanced mass-action systems, which have also been called toric. They are known or conjectured to enjoy very strong dynamical properties, such as existence and uniqueness of positive steady states, local and global stability, persistence, a...
MoRN Seminar: Jiaxin Jin (The Ohio State University), March 9, 2023
มุมมอง 73ปีที่แล้ว
Abstract: Different networks can generate the same dynamical system under mass-action kinetics. In this talk, we first show that the problem of identifying an underlying weakly reversible deficiency zero network is well-posed, in the sense that the solution is unique whenever it exists. And we design an efficient algorithm for the identification of these networks. Then we generalize the idea on...
MoRN Seminar: Muhammad Ali Al-Radhawi (Northeastern University), February 23, 2023
มุมมอง 46ปีที่แล้ว
Graphical characterizations of robust stability in biological interaction networks Abstract: Previous studies have inferred robust stability of reaction networks by utilizing linear programs or iterative algorithms. Such algorithms become tedious or computationally infeasible for large networks. In addition, they operate like black-boxes without offering intuition for the structures that are ne...
MoRN Seminar: Francesca Randone (IMT School for Advanced Studies Lucca), February 23, 2023
มุมมอง 41ปีที่แล้ว
Dynamic Boundary Projection: Refining Deterministic Approximations Of Stochastic Reaction Networks Through Dynamic Boundary Projection Abstract: To exactly compute the mean dynamics of stochastic reaction networks, the solution of the Chemical Master Equation (CME) is rarely feasible. Deterministic rate equations (DRE), while proven to converge to the average population dynamics for infinite in...
MoRN Seminar: Sarang Sunil Nath (Technical University of Denmark), February 9, 2023
มุมมอง 32ปีที่แล้ว
Constructing Equivalent Electrical Circuits for (Bio)chemical Reaction Networks Abstract: In this work, we develop and demonstrate a technique to transform reaction networks into modular electrical circuits that embody the same dynamic behaviour. After mathematically proving the equivalence of both representations, we illustrate the potential of the electrical framework to analyse oscillatory o...
MoRN Seminar: János Tóth (Budapest University of Technology and Economics), January 26, 2023
มุมมอง 34ปีที่แล้ว
Chaos in kinetic differential equations: Towards a rigorous approach. Abstract: A large part of theoretical work with kinetic differential equations focuses on conditions of exotic behavior like multistationarity and oscillation. Although experiments and numerical calculations suggest the presence of chaos in chemical kinetics, these works use approximations and heuristics. In this talk, we wil...
MoRN Seminar: Patrick DeLeenher (Oregon State University), December 1, 2022
มุมมอง 24ปีที่แล้ว
The basic reproduction number for linear semigroups in R^n with an invariant cone Abstract: We consider linear ODEs dx/dt=Ax on R^n and first characterize the class of operators A that have the property that e^{tA}(K) is contained in K for all non-negative t. These turn out to be the so-called cross-positive operators on K, or equivalently, the class of resolvent-positive operators (with respec...
MoRN Seminar: Romain Yvinec (Université de Tours), November 10, 2022
มุมมอง 502 ปีที่แล้ว
Stochastic Becker-Döring model: large population and large time results for phase transition phenomena Abstract: We present results on a stochastic version of a well-known kinetic nucleation model for phase transition phenomena. In the Becker-Döring model, aggregates grow or shrink by addition or removal of one-by-one particle at a time. Under certain conditions, very large aggregates emerge an...
MoRN Jeremy Gunawardena (Harvard Medical School) May19, 2022
มุมมอง 562 ปีที่แล้ว
Talk title: Parameter geography
MoRN seminar: Irene Otero-Muras (Institute for Integrative Systems Biology), Apr 28, 2022
มุมมอง 1822 ปีที่แล้ว
MoRN seminar: Irene Otero-Muras (Institute for Integrative Systems Biology), Apr 28, 2022
MoRN seminar: Hugo Dourado (Heinrich-Heine-Universität Düsseldorf), April 28, 2022
มุมมอง 482 ปีที่แล้ว
MoRN seminar: Hugo Dourado (Heinrich-Heine-Universität Düsseldorf), April 28, 2022
MoRN seminar: Massimiliano Esposito (University of Luxembourg), March 24, 2022
มุมมอง 1752 ปีที่แล้ว
MoRN seminar: Massimiliano Esposito (University of Luxembourg), March 24, 2022
MoRN seminar: Sebastian Walcher, February 10, 2022
มุมมอง 402 ปีที่แล้ว
MoRN seminar: Sebastian Walcher, February 10, 2022
MoRN seminar: Wasiur Khuda Bukhsh, January 27, 2022
มุมมอง 372 ปีที่แล้ว
MoRN seminar: Wasiur Khuda Bukhsh, January 27, 2022