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Related papers: Forecasting Avalanches in Branched Actomyosin Netw…

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We discuss basic features of emergent complexity in dynamical systems far from equilibrium by focusing on the network structure of their state space. We start by measuring the distributions of avalanche and transient times in Random Boolean…

Biological Physics · Physics 2009-11-13 Andrew Berdahl , Amer Shreim , Vishal Sood , Joern Davidsen , Maya Paczuski

Myosin V is a two-headed processive motor protein that walks in a hand-over-hand fashion along actin filaments. When it encounters a filament branch, formed by the Arp2/3 complex, it can either stay on the straight mother filament, or…

Biological Physics · Physics 2008-04-03 Andrej Vilfan

Allosteric regulation in proteins is often accompanied by conformational changes that facilitate transmission of mechanical signals between distant ligand binding sites. Typically, these deformations are classified in terms of specific…

Soft Condensed Matter · Physics 2024-01-26 Jason W. Rocks , Eleni Katifori , Andrea J. Liu

The mammalian cell membrane is embedded with biomolecular condensates of protein and lipid clusters, which interact with an underlying viscoelastic cytoskeleton network to organize the cell surface and mechanically interact with the…

Soft Condensed Matter · Physics 2024-10-23 Daniel P. Arnold , Sho C. Takatori

The classical approach to protein folding inspired by statistical mechanics avoids the high dimensional structure of the conformation space by using effective coordinates. Here we introduce a network approach to capture the statistical…

Biomolecules · Quantitative Biology 2007-05-23 Erzsebet Ravasz , S. Gnanakaran , Zoltan Toroczkai

Dynamical processes exhibiting absorbing states are essential in the modeling of a large variety of situations from material science to epidemiology and social sciences. Such processes exhibit the possibility of avalanching behavior upon…

We aim to identify the control principles governing the adaptable formation of non-equilibrium structures in actomyosin networks. We build a phenomenological model and predict that biasing the energy dissipated by molecular motors should…

Learning multi-scale representations is the common strategy to tackle object scale variation in dense prediction tasks. Although existing feature pyramid networks have greatly advanced visual recognition, inherent design defects inhibit…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Meng'en Qin , Yu Song , Quanling Zhao , Xiaodong Yang , Yingtao Che , Xiaohui Yang

Actin is a key component of the cytoskeleton, which plays central roles in cell motility, division, growth, and tensile strength. To enable this wide range of transient mechanical processes and properties, networks of actin filaments…

Cells make use of semi-flexible biopolymers such as actin or intermediate filaments to control their local viscoelastic response by dynamically adjusting the concentration and type of cross-linker molecules. The microstructure of the…

Soft Condensed Matter · Physics 2009-11-13 Yuxia Luan , Oliver Lieleg , Bernd Wagner , Andreas R. Bausch

A collective chaotic phase with power law scaling of activity events is observed in a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short-term synaptic plasticity. The dynamical phase diagram…

Disordered Systems and Neural Networks · Physics 2017-03-20 Fabrizio Pittorino , Miguel Ibáñez-Berganza , Matteo di Volo , Alessandro Vezzani , Raffaella Burioni

Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical…

Statistical Mechanics · Physics 2016-08-31 Reka Albert , Albert-Laszlo Barabasi

Computer simulations can aid in understanding how collective materials properties emerge from interactions between simple constituents. Here, we introduce a coarse-grained model that enables simulation of networks of actin filaments, myosin…

Biological Physics · Physics 2018-12-07 Simon L. Freedman , Shiladitya Banerjee , Glen M. Hocky , Aaron R. Dinner

We introduce a family of complex networks that interpolates between the Apollonian network and its binary version, recently introduced in [Phys. Rev. E \textbf{107}, 024305 (2023)], via random removal of nodes. The dilution process allows…

Disordered Systems and Neural Networks · Physics 2024-05-28 Eduardo M. K. Souza , Guilherme M. A. Almeida

We study a simple model for a neuron function in a collective brain system. The neural network is composed of uncorrelated random scale-free network for eliminating the degree correlation of dynamical processes. The interaction of neurons…

Statistical Mechanics · Physics 2007-05-23 Kyoung Eun Lee , Jae Woo Lee

Pattern formation and the mechanics of a mixture of actin filaments and myosin motors that is confined by a rigid membrane is investigated. By using a coarse-grained molecular dynamics model, we demonstrate that the competition between the…

Soft Condensed Matter · Physics 2023-04-12 Mitsusuke Tarama , Tatsuo Shibata

We develop a formalism to describe the equilibrium distributions for segments of confined branched networks consisting of stiff filaments. This is applicable to certain situations of cytoskeleton in cells, such as for example actin…

Soft Condensed Matter · Physics 2019-02-21 Somiéalo Azote , Kristian K. Müller-Nedebock

Cortical actin networks are highly dynamic and play critical roles in shaping the mechanical properties of cells. The actin cytoskeleton undergoes significant reorganization over the course of the cell cycle, when cortical actin transitions…

Quantitative Methods · Quantitative Biology 2022-07-22 Maria-Veronica Ciocanel , Aravind Chandrasekaran , Carli Mager , Qin Ni , Garegin Papoian , Adriana Dawes

Brain-like self-assembled networks can infer and analyze information out of unorganized noisy signals with minimal power consumption. These networks are characterized by spatiotemporal avalanches and their crackling behavior, and their…

Disordered Systems and Neural Networks · Physics 2024-04-30 Vivek Dey , Steffen Kampman , Rafael Gutierrez , Gianaurelio Cuniberti , Pavan Nukala

The analysis of networks affects the research of many real phenomena. The complex network structure can be viewed as a network's state at the time of the analysis or as a result of the process through which the network arises. Research…

Social and Information Networks · Computer Science 2017-01-09 Milos Kudelka , Eliska Ochodkova , Sarka Zehnalova