Metabolic reaction data is commonly modelled using a complex network approach, whereby nodes represent the chemical species present within the organism of interest, and connections are formed between those nodes participating in the same chemical reaction. Unfortunately, such an approach provides an inadequate description of the metabolic process in general, as a typical chemical reaction will involve more than two nodes, thus risking over-simplification of the the system of interest in a potentially significant way. In this paper, we employ a complex hypernetwork formalism to investigate the robustness of bacterial metabolic hypernetworks by extending the concept of a percolation process to hypernetworks. Importantly, this provides a nov...
Background: Constraint-based modeling of reconstructed genome-scale metabolic networks has been succ...
Metabolism is characterised by chemical reactions linked to each other, creating a complex network s...
Metabolic networks have gained broad attention in recent years as a result of their important roles ...
Network science provides an invaluable set of tools and techniques for improving our understanding o...
In this paper, we employ a directed hypergraph model to investigate the extent to which environmenta...
Metabolic networks are probably among the most challenging and important biological networks. Their ...
Biological networks exhibit intriguing topological properties such as small-worldness. In this paper...
In this paper, we employ a directed hypergraph model to investigate the extent to which environmenta...
BACKGROUND: Several studies have mentioned network modularity-that a network can easily be decompose...
Metabolic networks are composed of several functional modules, reproducing metabolic pathways and de...
Several studies have mentioned network modularity—that a network can easily ...
The main objective of this work is to analyze metabolic networks evolution in terms of their robustn...
Selective robustness is a key feature of biochemical networks. It confers a fitness benefit to organ...
At the systems level many organisms of interest may be described by their patterns of interaction, a...
High-level, mathematically precise descriptions of the global organisation of complex metabolic netw...
Background: Constraint-based modeling of reconstructed genome-scale metabolic networks has been succ...
Metabolism is characterised by chemical reactions linked to each other, creating a complex network s...
Metabolic networks have gained broad attention in recent years as a result of their important roles ...
Network science provides an invaluable set of tools and techniques for improving our understanding o...
In this paper, we employ a directed hypergraph model to investigate the extent to which environmenta...
Metabolic networks are probably among the most challenging and important biological networks. Their ...
Biological networks exhibit intriguing topological properties such as small-worldness. In this paper...
In this paper, we employ a directed hypergraph model to investigate the extent to which environmenta...
BACKGROUND: Several studies have mentioned network modularity-that a network can easily be decompose...
Metabolic networks are composed of several functional modules, reproducing metabolic pathways and de...
Several studies have mentioned network modularity—that a network can easily ...
The main objective of this work is to analyze metabolic networks evolution in terms of their robustn...
Selective robustness is a key feature of biochemical networks. It confers a fitness benefit to organ...
At the systems level many organisms of interest may be described by their patterns of interaction, a...
High-level, mathematically precise descriptions of the global organisation of complex metabolic netw...
Background: Constraint-based modeling of reconstructed genome-scale metabolic networks has been succ...
Metabolism is characterised by chemical reactions linked to each other, creating a complex network s...
Metabolic networks have gained broad attention in recent years as a result of their important roles ...