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The molecular network in an organism consists of transcription/translation regulation, protein-protein interactions/modifications and a metabolic network, together forming a system that allows the cell to respond sensibly to the multiple…

分子网络 · 定量生物学 2007-05-23 Sandeep Krishna , Anna M. C. Andersson , Szabolcs Semsey , Kim Sneppen

It has been recently observed that the dynamical properties of mass action systems arising from many models of biochemical reaction networks can be derived by considering the corresponding properties of a related generalized mass action…

数值分析 · 数学 2014-07-22 Matthew D. Johnston

Key features of biological activity can often be captured by transitions between a finite number of semi-stable states that correspond to behaviors or decisions. We present here a broad class of dynamical systems that are ideal for modeling…

动力系统 · 数学 2022-12-14 Megan Morrison , Lai-Sang Young

An elastic spring network is an example of evolvable matter. It can be pruned to couple separated pairs of nodes so that when a strain is applied to one of them, the other responds either in-phase or out-of-phase. This produces two pruned…

软凝聚态物质 · 物理学 2026-02-10 Samar Alqatari , Sidney Nagel

The steady-state degree of a chemical reaction network is the number of complex steady-states for generic rate constants and initial conditions. One way to bound the steady-state degree is through the mixed volume of the steady-state system…

组合数学 · 数学 2023-04-03 Jane Ivy Coons , Mark Curiel , Elizabeth Gross

Effects of feedbacks on self-organization phenomena in networks of diffusively coupled bistable elements are investigated. For regular trees, an approximate analytical theory for localized stationary patterns under application of global…

适应与自组织系统 · 物理学 2013-04-24 Nikos E. Kouvaris , Alexander S. Mikhailov

We study the evolution of a random weighted network with complex nonlinear dynamics at each node, whose activity may cease as a result of interactions with other nodes. Starting from a knowledge of the micro-level behaviour at each node, we…

统计力学 · 物理学 2007-05-23 Sitabhra Sinha , Sudeshna Sinha

Dynamical system models of complex biochemical reaction networks are usually high-dimensional, nonlinear, and contain many unknown parameters. In some cases the reaction network structure dictates that positive equilibria must be unique for…

动力系统 · 数学 2008-09-09 Gheorghe Craciun , J. William Helton , Ruth J. Williams

Multistability-induced hysteresis has been widely studied in mechanical systems, but such behavior has proven more difficult to reproduce experimentally in flow networks. Natural flow networks like animal and plant vasculature can exhibit…

软凝聚态物质 · 物理学 2025-12-03 Lauren E. Altman , Nadia Aguilar , Douglas J. Durian , Miguel Ruiz-Garcia , Eleni Katifori

We analyze a class of network motifs in which a short, two-node positive feed- back motif is inserted in a three-node negative feedback loop. We demonstrate that such networks can undergo a bifurcation to a state where a stable fixed point…

分子网络 · 定量生物学 2012-09-10 Weihan Li , Sandeep Krishna , Simone Pigolotti , Namiko Mitarai , Mogens H. Jensen

We are surrounded by spatio-temporal patterns resulting from the interaction of the numerous basic units constituting natural or human-made systems. In presence of diffusive-like coupling, Turing theory has been largely applied to explain…

斑图形成与孤子 · 物理学 2025-09-15 Marie Dorchain , S. Nirmala Jenifer , Timoteo Carletti

Recent studies on epistatic networks of model organisms have unveiled a certain type of modular property called monochromaticity in which the networks are clusterable into functional modules that interact with each other through the same…

分子网络 · 定量生物学 2013-05-30 Arda Halu , Ginestra Bianconi

The graph-related symmetries of a reaction network give rise to certain special equilibria (such as complex balanced equilibria) in deterministic models of dynamics of the reaction network. Correspondingly, in the stochastic setting, when…

概率论 · 数学 2018-05-21 Daniele Cappelletti , Badal Joshi

We study transient sequential dynamics of evolving dynamical networks, i.e., those having active nodes and links and activity-dependent topology. We show that such networks can generate sequences of metastable cluster states where each…

混沌动力学 · 物理学 2014-12-01 Oleg V. Maslennikov , Vladimir I. Nekorkin

Many complex systems can be described in terms of networks of interacting units. Recent studies have shown that a wide class of both natural and artificial nets display a surprisingly widespread feature: the presence of highly heterogeneous…

无序系统与神经网络 · 物理学 2007-05-23 R. Ferrer i Cancho , R. V. Sole

Multistationarity, underlies biochemical switching and cellular decision-making. We study how multistationarity in the sequential n-site phosphorylation-dephosphorylation cycle is affected when only some species are open, meaning allowed to…

动力系统 · 数学 2025-11-14 Praneet Nandan , Beatriz Pascual-Escudero , Diego Rojas La Luz

In a recent paper it was shown that, for chemical reaction networks possessing a subtle structural property called concordance, dynamical behavior of a very circumscribed (and largely stable) kind is enforced, so long as the kinetics lies…

分子网络 · 定量生物学 2012-04-26 Guy Shinar , Martin Feinberg

Multicellular organisms comprise a diverse collection of stable tissues built from different cell types. It remains unclear how large numbers of interacting cells can precisely coordinate their gene expression during tissue…

生物物理 · 物理学 2022-10-31 Matthew Smart , Anton Zilman

Scale-free and non-computable characteristics of natural networks are found to result from the least-time dispersal of energy. To consider a network as a thermodynamic system is motivated since ultimately everything that exists can be…

综合物理 · 物理学 2011-06-22 Tuomo Hartonen , Arto Annila

Here we investigate the dynamics of indirect reciprocity on networks, a type of social dynamics in which the attitude of individuals, either cooperative or antagonistic, toward other individuals changes over time by their actions and mutual…

物理与社会 · 物理学 2021-09-01 Koji Oishi , Shuhei Miyano , Kimmo Kaski , Takashi Shimada
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