The molecular network found in this study will provide a basis for rational therapeutic targets for bone disorders.
For example, pharmaceutical companies have an interest in reverse-engineering molecular networks to find druggable targets (Hopkins and Groom, 2002; Schadt et al., 2007) or otherwise find genes that strongly influence disease and that could respond to therapy (Chen et al., 2008).
Importantly, the identified molecular network was found to contain complex interrelationships, providing further insight into epilepsy's underlying pathology.
This network was virtually the only network found on POD6.
In subsequent work, statistically maintained properties, such as scale-freeness, were found in molecular networks of different types.
We used Database for Annotation, Visualization, and Integrated Discovery (DAVID) to find the molecular networks of downregulated microRNAs target genes.
Ingenuity Pathway Analysis (Ingenuity System), a genome-wide biological pathway analysis package, was used to find significantly molecular networks and pathways associated with kidney cancer.
For all molecular networks studied in this work we found that even the most distantly related paralogous proteins with amino acid sequence identities around 20% on average have more similar positions within a network than a randomly selected pair of proteins.
It is essential to address the similarities and differences between molecular networks by comparative network analysis, to find conserved regions, discover new biological functions, understand the evolution of protein interactions, and uncover underlying mechanisms of biological processes.
The other 24 functional molecular network diagrams can be found in Additional file 3.
