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Signalling pathways are abstractions that help life scientists structure the coordination of cellular activity. Cross-talk between pathways accounts for many of the complex behaviours exhibited by signalling pathways and is often critical…

计算工程、金融与科学 · 计算机科学 2010-02-23 Robin Donaldson , Muffy Calder

We develop numerical and analytical approaches to calculate mutual information between complete paths of two molecular components embedded into a larger reaction network. In particular, we focus on a continuous-time Markov chain formalism,…

分子网络 · 定量生物学 2022-08-09 Anne-Lena Moor , Christoph Zechner

Living cells encode and transmit information in the temporal dynamics of biochemical components. Gaining a detailed understanding of the input-output relationship in biological systems therefore requires quantitative measures that capture…

分子网络 · 定量生物学 2019-04-04 Lorenzo Duso , Christoph Zechner

Fluctuations in biochemical networks, e.g., in a living cell, have a complex origin that precludes a description of such systems in terms of bipartite or multipartite processes, as is usually done in the framework of stochastic and/or…

统计力学 · 物理学 2020-01-29 R. Chétrite , M. L. Rosinberg , T. Sagawa , G. Tarjus

Fluctuations in the abundance of molecules in the living cell may affect its growth and well being. For regulatory molecules (e.g., signaling proteins or transcription factors), fluctuations in their expression can affect the levels of…

分子网络 · 定量生物学 2009-11-13 Erel Levine , Terence Hwa

Signal transduction networks can form highly interconnected systems within cells due to network crosstalk, the sharing of input signals between multiple downstream responses. To better understand the evolutionary design principles…

生物物理 · 物理学 2018-02-14 Ammar Tareen , Ned S. Wingreen , Ranjan Mukhopadhyay

We quantify the influence of the topology of a transcriptional regulatory network on its ability to process environmental signals. By posing the problem in terms of information theory, we may do this without specifying the function…

分子网络 · 定量生物学 2015-06-26 Etay Ziv , Ilya Nemenman , Chris H. Wiggins

Complex systems with multiple processes evolving on different temporal scales are naturally described by multilayer networks, where each layer represents a different timescale. In this work, we show how the multilayer structure shapes the…

统计力学 · 物理学 2024-10-29 Giorgio Nicoletti , Daniel Maria Busiello

Biochemical signaling cascades transmit intracellular information while dissipating energy under nonequilibrium conditions. We model a cascade as a code string and apply information-entropy ideas to quantify an optimal transmission rate. A…

分子网络 · 定量生物学 2026-01-21 Tatsuaki Tsuruyama

We address the problem of message transfer in a communication network. The network consists of nodes and links, with the nodes lying on a two dimensional lattice. Each node has connections with its nearest neighbours, whereas some special…

统计力学 · 物理学 2007-05-23 Brajendra K. Singh , Neelima M. Gupte

A recurring motif in gene regulatory networks is transcription factors (TFs) that regulate each other, and then bind to overlapping sites on DNA, where they interact and synergistically control transcription of a target gene. Here, we…

分子网络 · 定量生物学 2013-03-07 Sahand Hormoz

Complex networks usually exhibit a rich architecture organized over multiple intertwined scales. Information pathways are expected to pervade these scales reflecting structural insights that are not manifest from analyses of the network…

物理与社会 · 物理学 2022-09-16 Pablo Villegas , Andrea Gabrielli , Francesca Santucci , Guido Caldarelli , Tommaso Gili

Biochemical networks can respond to temporal characteristics of time-varying signals. To understand how reliably biochemical networks can transmit information we must consider how an input signal as a function of time--the input…

分子网络 · 定量生物学 2015-05-13 Filipe Tostevin , Pieter Rein ten Wolde

A ubiquitous way that cells share information is by exchanging molecules. Yet, the fundamental ways that this information exchange is influenced by intracellular dynamics remain unclear. Here we use information theory to investigate a…

生物物理 · 物理学 2020-07-23 Amir Erez , Tommy A. Byrd , Michael Vennettilli , Andrew Mugler

Causal inference seeks to identify cause-and-effect interactions in coupled systems. A recently proposed method by Liang detects causal relations by quantifying the direction and magnitude of information flow between time series. The…

数据分析、统计与概率 · 物理学 2024-03-20 Dionissios T. Hristopulos

A general approach to consider spatially extended stochastic systems with correlations between additive and multiplicative noises subject to nonlinear damping is developed. Within modified cumulant expansion method, we derive an effective…

统计力学 · 物理学 2009-11-10 A. I. Olemskoi , D. O. Kharchenko , I. A. Knyaz'

Rhythmic activity has been associated with a wide range of cognitive processes. Previous studies have shown that spike-timing-dependent plasticity can facilitate the transfer of rhythmic activity downstream the information processing…

神经元与认知 · 定量生物学 2020-09-09 Nimrod Sherf , Maoz Shamir

Interaction networks, consisting of agents linked by their interactions, are ubiquitous across many disciplines of modern science. Many methods of analysis of interaction networks have been proposed, mainly concentrating on node degree…

分子网络 · 定量生物学 2011-12-20 Aleksandar Stojmirović , Yi-Kuo Yu

Biological information processing as implemented by regulatory and signaling networks in living cells requires sufficient specificity of molecular interaction to distinguish signals from one another, but much of regulation and signaling…

生物大分子 · 定量生物学 2015-01-29 Christopher R. Myers

Cells must continuously sense and respond to time-varying environmental stimuli. These signals are transmitted and processed by biochemical signalling networks. However, the biochemical reactions making up these networks are intrinsically…

分子网络 · 定量生物学 2015-05-18 Filipe Tostevin , Pieter Rein ten Wolde
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