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In addition to showing scalefree and small world properties, biological networks appear to exhibit modularity in topological structure. In the field of network biology, the definition of nodes and edges in a given network depends on the type of network examined. For example, in a protein interaction network, nodes correspond with individual proteins and edges represent the interactions between them (either through direct physical interaction, or compound-mediated). Metabolic networks, on the other hand, contain metabolite nodes and edges that represent the specific enzymes that connect them (in catalyzing biochemical reactions). As with any type of network, modularity in biological networks allows sub-groups of nodes and edges to function in a semi-autonomous fashion.
The concept of modularity resurfaces at the scale of organs and developmental units. Why are there distinct cell types organised into spatial aggregations (organs), and what are the benefits of having a segmented body plan, containing different modules (for instance, thoracic and abdominal segments in an arthropod) and where one of the possible differences between species is in the number of each type of module they possess?
Interestingly, this property has led researchers to suggest that modularity imparts a certain degree of evolvability to a system by allowing specific features (i.e. network sub-groups) to undergo changes without substantially altering the functionality of the entire system. Essentially, each module is free to evolve within, so long as the interfaces between modules remain consistent. This would suggest that the metabolic pathways at the edges between modules are relatively more constrained. It is thought that there exists an optimal degree of modularity for each given organism.
|This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Modularity_(biology)". A list of authors is available in Wikipedia.|