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The ubiquity of modules in biological networks may result from an evolutionary benefit of a modular organization. For instance, modularity may increase the rate of adaptive evolution, because modules can be easily combined into new…

分子网络 · 定量生物学 2011-08-26 Areejit Samal , Andreas Wagner , Olivier C. Martin

Metabolic networks consist of linked functional components, or modules. The mechanism underlying metabolic network modularity is of great interest not only to researchers of basic science but also to those in fields of engineering. Previous…

分子网络 · 定量生物学 2012-09-14 Kazuhiro Takemoto

Biological networks have evolved to be highly functional within uncertain environments while remaining extremely adaptable. One of the main contributors to the robustness and evolvability of biological networks is believed to be their…

分子网络 · 定量生物学 2008-02-14 Arend Hintze , Christoph Adami

[Background] Several studies have mentioned network modularity -- that a network can easily be decomposed into subgraphs that are densely connected within and weakly connected between each other -- as a factor affecting metabolic…

分子网络 · 定量生物学 2012-10-10 Petter Holme

The architecture of biological networks has been reported to exhibit high level of modularity, and to some extent, topological modules of networks overlap with known functional modules. However, how the modular topology of the molecular…

分子网络 · 定量生物学 2007-09-07 Jing Zhao , Guo-Hui Ding , Lin Tao , Hong Yu , Zhong-Hao Yu , Jian-Hua Luo , Zhi-Wei Cao , Yi-Xue Li

Interconnected ensembles of biological entities are perhaps some of the most complex systems that modern science has encountered so far. In particular, scientists have concentrated on understanding how the complexity of the interacting…

斑图形成与孤子 · 物理学 2020-11-18 Bram A. Siebert , Cameron L. Hall , James P. Gleeson , Malbor Asllani

Biological systems are modular, and this modularity affects the evolution of biological systems over time and in different environments. We here develop a theory for the dynamics of evolution in a rugged, modular fitness landscape. We show…

种群与进化 · 定量生物学 2015-06-23 Jeong-Man Park , Man Chen , Dong Wang , Michael W. Deem

Networks describing the interaction of the elements that constitute a complex system grow and develop via a number of different mechanisms, such as the addition and deletion of nodes, the addition and deletion of edges, as well as the…

分子网络 · 定量生物学 2010-06-09 Arend Hintze , Christoph Adami

A central biological question is how natural organisms are so evolvable (capable of quickly adapting to new environments). A key driver of evolvability is the widespread modularity of biological networks--their organization as functional,…

种群与进化 · 定量生物学 2015-03-13 Jeff Clune , Jean-Baptiste Mouret , Hod Lipson

We investigate the selective forces that promote the emergence of modularity in nature. We demonstrate the spontaneous emergence of modularity in a population of individuals that evolve in a changing environment. We show that the level of…

分子网络 · 定量生物学 2009-11-13 Jiankui He , Jun Sun , Michael W. Deem

Many of the chemical reactions that take place within a living cell are irreversible. Due to evolutionary pressures, the number of allowable reactions within these systems are highly constrained and thus the resulting metabolic networks…

分子网络 · 定量生物学 2013-03-04 Jonathan J Crofts , Ernesto Estrada

Mutualistic networks have been shown to involve complex patterns of interactions among animal and plant species. The architecture of these webs seems to pervade some of their robust and fragile behaviour. Recent work indicates that there is…

种群与进化 · 定量生物学 2016-12-07 Sergi Valverde , Jose Montoya , Lucas Joppa , Ricard Sole

The relationship between network topology and system dynamics has significant implications for unifying our understanding of the interplay among metabolic, gene-regulatory, and ecosystem network architecures. Here we analyze the stability…

种群与进化 · 定量生物学 2015-06-17 Cameron Smith , Raymond S. Puzio , Aviv Bergman

Ecological networks exhibit non-random structural patterns, such as modularity and nestedness, which indicate ecosystem stability, species diversity, and connectance. Such structure-stability relationships are well known. However, another…

种群与进化 · 定量生物学 2014-06-12 Kazuhiro Takemoto , Saori Kanamaru , Wenfeng Feng

The stability of ecosystems as well as the relation between topology and dynamics on multilayer networks are important questions that are usually discussed in separate communities. Here, we combine these two topics by investigating the…

种群与进化 · 定量生物学 2015-07-24 Jonas Richhardt , Sebastian Plitzko , Florian Schwarzmüller , Barbara Drossel

Understanding design principles of complex cellular organization is one of the major challenges in biology. Recent analysis of the large-scale cellular organization has revealed the scale-free nature and robustness of metabolic and protein…

分子网络 · 定量生物学 2007-05-23 Hiroki R. Ueda , John B. Hogenesch

The metabolism is the motor behind the biological complexity of an organism. One problem of characterizing its large-scale structure is that it is hard to know what to compare it to. All chemical reaction systems are shaped by the same…

分子网络 · 定量生物学 2011-05-10 Petter Holme , Mikael Huss , Sang Hoon Lee

Evolving biomolecular networks have to combine the stability against perturbations with flexibility allowing their constituents to assume new roles in the cell. Gene duplication followed by functional divergence of associated proteins is a…

分子网络 · 定量生物学 2007-05-23 Sergei Maslov , Kim Sneppen , Kasper Astrup Eriksen

This study investigates the prevalence and implications of nestedness within primate social networks, examining its relationship with cognitive and structural factors. We analysed data from 51 primate groups across 21 species, employing…

Mutualistic networks are formed when the interactions between two classes of species are mutually beneficial. They are important examples of cooperation shaped by evolution. Mutualism between animals and plants plays a key role in the…

种群与进化 · 定量生物学 2013-08-23 Samir Suweis , Filippo Simini , Jayanth R. Banavar , Amos Maritan
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