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We devise a method for predicting certain receptor-ligand binding behaviors, based on stochastic dynamical modelling. We consider the dynamics of a receptor binding to a ligand on the cell membrane, where the receptor and ligand perform…

分子网络 · 定量生物学 2023-02-17 Xi Chen , Hui Wang , Jinqiao Duan

We introduce a derangement model of ligand-receptor binding that allows us to quantitatively frame the question "How can ligands seek out and bind to their optimal receptor sites in a sea of other competing ligands and suboptimal receptor…

生物大分子 · 定量生物学 2022-08-24 Mobolaji Williams

A diffusion-based molecular communication system has two major components: the diffusion in the medium, and the ligand-reception. Information bits, encoded in the time variations of the concentration of molecules, are conveyed to the…

信息论 · 计算机科学 2012-05-23 Arash Einolghozati , Mohsen Sardari , Faramarz Fekri

In this paper, a diffusion-based molecular communication channel is modeled in presence of a probabilistic absorber. The probabilistic absorber is an absorber which absorbs molecules upon collision with probability q. With random walk…

新兴技术 · 计算机科学 2019-09-19 S Salehi , NS Moayedian , E Alarcón

Cells measure concentrations of external ligands by capturing ligand molecules with cell surface receptors. The numbers of molecules captured by different receptors co-vary because they depend on the same extrinsic ligand fluctuations.…

神经元与认知 · 定量生物学 2016-09-21 Vijay Singh , Martin Tchernookov , Ilya Nemenman

Biological sensory systems generally operate out of equilibrium, which often leads to their improved performance. Here, we study the sensitivity of ligand concentration for a general receptor model, which is generally in the non-equilibrium…

生物物理 · 物理学 2017-06-27 Takashi Okada

We prove existence, uniqueness, and regularity for a reaction-diffusion system of coupled bulk-surface equations on a moving domain modelling receptor-ligand dynamics in cells. The nonlinear coupling between the three unknowns is through…

偏微分方程分析 · 数学 2017-11-23 Amal Alphonse , Charles M. Elliott , Joana Terra

The theory of receptor-ligand binding equilibria has long been well-established in biochemistry, and was primarily constructed to describe dilute aqueous solutions. Accordingly, few computational approaches have been developed for making…

定量方法 · 定量生物学 2018-10-02 Reza Salari , Thomas Joseph , Ruchi Lohia , Jerome Henin , Grace Brannigan

Intracellular signaling often arises from ligand-induced oligomerization of cell surface receptors. This oligomerization or clustering process is fundamentally a cooperative behavior between near-neighbor receptor molecules; the properties…

软凝聚态物质 · 物理学 2009-10-31 Chinlin Guo , Herbert Levine

We propose a model of mass-conserving heterogeneous nucleation to describe the dynamics of ligand-receptor binding in closed cellular compartments. When the ligand dissociation rate is small, competition among receptors for free ligands…

软凝聚态物质 · 物理学 2015-05-30 T. Chou , M. D'Orsogna

Achieving precise synchronisation between transmitters and receivers is particularly challenging in diffusive molecular communication environments. To this end, point-to-point molecular communication system design is examined wherein…

信号处理 · 电气工程与系统科学 2018-11-09 Tze-Yang Tung , Urbashi Mitra

Cells adapt to changing environments by sensing ligand concentrations using specific receptors. The accuracy of sensing is ultimately limited by the finite number of ligand molecules bound by receptors. Previously derived physical limits to…

亚细胞过程 · 定量生物学 2019-11-13 Thierry Mora , Ilya Nemenman

The adhesion of cells is mediated by receptors and ligands anchored in apposing membranes. A central question is how to characterize the binding affinity of these membrane-anchored molecules. For soluble molecules, the binding affinity is…

软凝聚态物质 · 物理学 2009-06-03 Heinrich Krobath , Bartosz Rozycki , Reinhard Lipowsky , Thomas R. Weikl

Biological cells are able to accurately sense chemicals with receptors at their surfaces, allowing cells to move towards sources of attractant and away from sources of repellent. The accuracy of sensing chemical concentration is ultimately…

亚细胞过程 · 定量生物学 2015-05-14 Robert G. Endres , Ned S. Wingreen

Targeted drug delivery relies on two physical processes: the selective binding of a therapeutic particle to receptors on a specific cell membrane, followed by transport of the particle across the membrane. In this article, we address some…

软凝聚态物质 · 物理学 2021-04-16 Simon Merminod , John R. Edison , Huang Fang , Michael F. Hagan , W. Benjamin Rogers

Assuming that mutation and fixation processes are reversible Markov processes, we prove that the equilibrium ensemble of sequences obeys a Boltzmann distribution with $\exp(4N_e m(1 - 1/(2N)))$, where $m$ is Malthusian fitness and $N_e$ and…

种群与进化 · 定量生物学 2024-08-20 Sanzo Miyazawa

In this paper, we consider the bacterial point-to-point communication problem with one transmitter and one receiver by considering the ligand receptor binding process. The most commonly investigated signalling model, referred to as the…

信息论 · 计算机科学 2015-04-17 Gholamali Aminian , Mahtab Mirmohseni , Masoumeh Nasiri Kenari , Faramarz Fekri

We investigated the probability distribution of the thermal neutron capture cross section ($\sigma_{th}$) deduced stochastically with the resonance parameters randomly sampled from Wigner and Porter-Thomas distributions. We found that the…

核理论 · 物理学 2019-07-31 N. Furutachi , F. Minato , O. Iwamoto

This paper analyzes the channel impulse response of an absorbing receiver (RX) covered by multiple non-overlapping heterogeneous receptors with different sizes and arbitrary locations in a molecular communication system. In this system, a…

新兴技术 · 计算机科学 2022-02-16 Xinyu Huang , Yuting Fang , Stuart T. Johnston , Matthew Faria , Nan Yang , Robert Schober

A quantitative model of the mobility of functionalized particles at the interface is pivotal to understanding important systems in biology and nanotechnology. In this work, we investigate the emerging dynamics of particles anchored through…

软凝聚态物质 · 物理学 2024-06-19 Janna Lowensohn , Laurie Stevens , Daniel Goldstein , Bortolo Matteo Mognetti
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