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探索生物网络的模块性。

Exploring modularity in biological networks.

机构信息

Institut für Philosophie, Literatur, Wissenschafts- und Technikgeschichte, TU Berlin Faculty I Humanities, Berlin 10623, Germany.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2020 Apr 13;375(1796):20190316. doi: 10.1098/rstb.2019.0316. Epub 2020 Feb 24.

Abstract

Network theoretical approaches have shaped our understanding of many different kinds of biological modularity. This essay makes the case that to capture these contributions, it is useful to think about the role of network models in exploratory research. The overall point is that it is possible to provide a systematic analysis of the exploratory functions of network models in bioscientific research. Using two examples from molecular and developmental biology, I argue that often the same modelling approach can perform one or more exploratory functions, such as introducing new directions of research, offering a complementary set of concepts, methods and algorithms for individuating important features of natural phenomena, generating proofs of principle demonstrations and potential explanations for phenomena of interest and enlarging the scope of certain research agendas. This article is part of the theme issue 'Unifying the essential concepts of biological networks: biological insights and philosophical foundations'.

摘要

网络理论方法已经改变了我们对许多不同类型生物模块性的理解。本文认为,为了捕捉这些贡献,思考网络模型在探索性研究中的作用是很有用的。总体观点是,有可能对网络模型在生物科学研究中的探索功能进行系统分析。本文通过分子生物学和发育生物学的两个例子进行论证,指出通常相同的建模方法可以执行一个或多个探索性功能,例如引入新的研究方向,为识别自然现象的重要特征提供一组互补的概念、方法和算法,为感兴趣的现象生成原理演示和潜在解释,并扩大某些研究议程的范围。本文是“统一生物网络的基本概念:生物学见解和哲学基础”主题问题的一部分。

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引用本文的文献

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Modularity in Biological Networks.生物网络中的模块化
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本文引用的文献

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Microbes, mathematics, and models.微生物、数学与模型。
Stud Hist Philos Sci. 2018 Dec;72:1-10. doi: 10.1016/j.shpsa.2018.07.001. Epub 2018 Jul 17.
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Network science of biological systems at different scales: A review.生物系统不同尺度的网络科学:综述。
Phys Life Rev. 2018 Mar;24:118-135. doi: 10.1016/j.plrev.2017.11.003. Epub 2017 Nov 3.
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Modular and hierarchically modular organization of brain networks.大脑网络的模块化和层次模块化组织。
Front Neurosci. 2010 Dec 8;4:200. doi: 10.3389/fnins.2010.00200. eCollection 2010.

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