Properties of graph representation of genome scale metabolic networks have been extensively studied. However, the relationship between these structural properties and functional properties of the networks are still very unclear. In this paper, we focus on nutritional requirements of organisms as a functional property and study the relationship with structural properties of a graph representation of metabolic networks. In order to examine the relationship, we study to what extent the nutritional requirements can be predicted by using support vector machines from structural properties, which include degree exponent, edge density, clustering coefficient, degree centrality, closeness centrality, betweenness centrality and eigenvector centrality. Furthermore, we study which properties are influential to the nutritional requirements.
|Number of pages||15|
|Publication status||Published - 2009|
|Event||Proceedings of the 9th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2009) - Boston, United States|
Duration: 27 Jul 2009 → 29 Jul 2009
- metabolic networks
- support vector machines
- nutritional profile