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The stationary states of systems with many molecular motors are studied theoretically for uniaxial and centered (aster-like) arrangements of cytoskeletal filaments using Monte Carlo simulations and a two-state model. Mutual exclusion of…

亚细胞过程 · 定量生物学 2007-05-23 Stefan Klumpp , Theo M. Nieuwenhuizen , Reinhard Lipowsky

Many biological systems dynamically rearrange their components through a sequence of configurations in order to perform their functions. Such dynamic processes have been studied using network models that sequentially retrieve a set of…

统计力学 · 物理学 2022-12-01 Lukas Herron , Pablo Sartori , BingKan Xue

Collective cell migration plays an essential role in various biological processes, such as development or cancer proliferation. While cell-cell interactions are clearly key determinants of collective cell migration -- in addition to…

Motor proteins that specifically interact with the ends of cytoskeletal filaments can induce filament depolymerization. A phenomenological description of this process is presented. We show that under certain conditions motors dynamically…

亚细胞过程 · 定量生物学 2009-11-11 Gernot A. Klein , Karsten Kruse , Gianaurelio Cuniberti , Frank Juelicher

We analyze theoretically the effects of excluded-volume interactions between motors on the dynamics of a cargo driven by multiple motors. The model considered shares many commons with other recently proposed in the literature, with the…

生物物理 · 物理学 2010-12-15 Sebastian Bouzat , Fernando Falo

Cellular function is widely believed to be organized in a modular fashion. On all scales and at all levels of complexity, relatively independent sub-units perform relatively independent sub-tasks of biological function. This functional…

分子网络 · 定量生物学 2010-12-22 Stefan Pinkert , Joerg Schultz , Joerg Reichardt

Functional protein-protein interactions are crucial in most cellular processes. They enable multi-protein complexes to assemble and to remain stable, and they allow signal transduction in various pathways. Functional interactions between…

生物大分子 · 定量生物学 2018-11-14 Anne-Florence Bitbol

Cells are complex structures which require considerable amounts of organization via transport of large intracellular cargo. While passive diffusion is often sufficiently fast for the transport of smaller cargo, active transport is necessary…

生物大分子 · 定量生物学 2018-08-29 Robert Blackwell , David Jung , Mona Bukenberger , Ana-Sunčana Smith

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…

定量方法 · 定量生物学 2022-07-22 Maria-Veronica Ciocanel , Aravind Chandrasekaran , Carli Mager , Qin Ni , Garegin Papoian , Adriana Dawes

Coordinated movement and self-organisation of active self-driven agents is common in nature and is seen across different scales, from herds of animals to collective motion in bacteria. Often, these systems are heterogeneous in composition,…

适应与自组织系统 · 物理学 2026-04-28 Balagopal Nair , Arshed Nabeel , Danny Raj M

The stochastic driving force exerted by a single molecular motor (e.g., a kinesin, or myosin) moving on a periodic molecular track (microtubule, actin filament, etc.) is discussed from a general viewpoint open to experimental test. An…

统计力学 · 物理学 2009-10-31 Michael E. Fisher , Anatoly B. Kolomeisky

Molecular motors work collectively to transport cargo within cells, with anywhere from one to several hundred motors towing a single cargo. For a broad class of collective-transport systems, we use tools from stochastic thermodynamics to…

统计力学 · 物理学 2022-09-13 Matthew P. Leighton , David A. Sivak

Properties of transport of molecular motors are investigated. A simplified model based on the concept of Brownian ratchets is applied. We analyze a stochastic equation of motion by means of numerical methods. The transport is systematically…

统计力学 · 物理学 2011-12-07 Lukasz Machura , Marcin Kostur , Jerzy Luczka

In active materials, uncoordinated internal stresses lead to emergent long-range flows. An understanding of how the behavior of active materials depends on mesoscopic (hydrodynamic) parameters is developing, but there remains a gap in…

Keratin are among the most abundant proteins in epithelial cells. Functions of the keratin network in cells are shaped by their dynamical organization. Using a collection of experimentally-driven mathematical models, different hypotheses…

亚细胞过程 · 定量生物学 2015-08-19 Stephanie Portet , Anotida Madzvamuse , Andy Chung , Rudolf E. Leube , Reinhard Windoffer

Motivated by recent experimental results for the step sizes of dynein motor proteins, we develope a cellular automata model for intra-cellular traffic of dynein motors incorporating special features of the hindrance-dependent step size of…

统计力学 · 物理学 2009-11-11 Ambarish Kunwar , Andreas Schadschneider , Debashish Chowdhury

A network of semiflexible biopolymers, known as the cytoskeleton, and molecular motors play fundamental mechanical roles in cellular activities. The cytoskeletal response to forces generated by molecular motors is profoundly linked to…

软凝聚态物质 · 物理学 2022-05-25 N. Honda , K. Shiraki , F. van Esterik , S. Inokuchi , H. Ebata , D. Mizuno

In living cells, molecular motors convert chemical energy into mechanical work. Its thermodynamic energy efficiency, i.e. the ratio of output mechanical work to input chemical energy, is usually high. However, using two-state models, we…

生物物理 · 物理学 2015-03-06 Yunxin Zhang

Living tissue is able to withstand large stresses in everyday life, yet it also actively adapts to dynamic loads. This remarkable mechanical behaviour emerges from the interplay between living cells and their non-living extracellular…

生物物理 · 物理学 2022-02-02 Iain Muntz , Michele Fenu , Gerjo J. V. M. van Osch , Gijsje H. Koenderink

Dynamics of molecular motor dimers, consisting of rigidly bound particles that move along two parallel lattices and interact with underlying molecular tracks, is investigated theoretically by analyzing discrete-state stochastic…

统计力学 · 物理学 2009-11-13 Alexander Yu. Morozov , Anatoly B. Kolomeisky