布尔网络中的线性切割

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Natural Computing Pub Date : 2023-07-04 DOI:10.1007/s11047-023-09945-2
Aurélien Naldi, Adrien Richard, Elisa Tonello
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引用次数: 3

摘要

布尔网络是探索生物系统定性动力学特性的常用工具。基于捕获布尔组件之间交互的相同逻辑结构,已经提出了几种动态解释。它们在不同程度上再现了更多定量模型中出现的行为。特别是,监管冲突可能会阻止标准异步动态再现一些轨迹,这些轨迹可能是在检查更详细的模型时所期望的。我们引入并研究了一类具有线性切割的网络,其中线性分量-具有单个调节器和单个目标的中间部分-消除了上述调节冲突。当一个线性分量出现在每个循环和从多目标分量到多调节器分量的每条路径上时,布尔网络的交互图承认一个线性截断。在这种结构条件下,吸引子与最小陷阱空间是一一对应的,并且吸引子的可达性也很容易表征。线性切割为布尔语义的新解释提供了基础,该语义捕获了具有为每个交互唯一定义的调节阈值的多值细化的所有行为,并为逻辑模型的行为研究提供了一种新方法。
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Linear cuts in Boolean networks

Boolean networks are popular tools for the exploration of qualitative dynamical properties of biological systems. Several dynamical interpretations have been proposed based on the same logical structure that captures the interactions between Boolean components. They reproduce, in different degrees, the behaviours emerging in more quantitative models. In particular, regulatory conflicts can prevent the standard asynchronous dynamics from reproducing some trajectories that might be expected upon inspection of more detailed models. We introduce and study the class of networks with linear cuts, where linear components—intermediates with a single regulator and a single target—eliminate the aforementioned regulatory conflicts. The interaction graph of a Boolean network admits a linear cut when a linear component occurs in each cycle and in each path from components with multiple targets to components with multiple regulators. Under this structural condition the attractors are in one-to-one correspondence with the minimal trap spaces, and the reachability of attractors can also be easily characterized. Linear cuts provide the base for a new interpretation of the Boolean semantics that captures all behaviours of multi-valued refinements with regulatory thresholds that are uniquely defined for each interaction, and contribute a new approach for the investigation of behaviour of logical models.

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来源期刊
Natural Computing
Natural Computing Computer Science-Computer Science Applications
CiteScore
4.40
自引率
4.80%
发文量
49
审稿时长
3 months
期刊介绍: The journal is soliciting papers on all aspects of natural computing. Because of the interdisciplinary character of the journal a special effort will be made to solicit survey, review, and tutorial papers which would make research trends in a given subarea more accessible to the broad audience of the journal.
期刊最新文献
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