The advantages of tailored multitarget tools could be, first, to circumvent the regulation of parallel pathways and elemental redundancy in networks.
In this research article, the authors describe the CentiScaPe app for Cytoscape (and its web version FastCentiScaPe) for computing the several centrality parameters in networks, analyzing the elemental level importance of each node in the network, based on network topology.
A widely used two-dimensional model of solar cells underpinning the interpretation of such effects consists of a network of distributed elemental solar cells connected by resistive elements.
The graph turns into an impedance network when an elemental impedance is associated with each link.
In this system, oxygen and carbon atoms share bonds with silicon atoms in the amorphous network structure while elemental carbon, and possibly nanosized SiO2 and SiC nanodomains may co-exist.
Indeed, this is a sub-topic in an area of much wider scope, interest and activity, which also concerns the topology of network structures in elemental solid forms, through simple mixed inorganic solids − silicates, zeolites and the like, and, more recently metal-organic frameworks (MOFS).
Briefly, the rxncon language describes a network in terms of decontextualized elemental reactions, their corresponding elemental states, and contingencies that define the contextual constraints on elemental reactions [ 11, 16].
These networks are all elemental and charge balanced, and they have been manually curated.
The production of products/byproducts by a metabolic network not only completes elemental balances but it also regenerates and balances cofactors.
Together, the elemental reactions and contingencies fully define the network, and can be directly exported to a bipartite Boolean model with a unique truth table [ 13].
