Fig 1.
The main analytic process was described in frame.
Table 1.
Twenty three MeSH headings of RE subtypes.
Fig 2.
Refractory Epilepsies (RE) disease-gene network and relationships statistics.
(A) Disease-gene network showing the relationships of 1,086 genes corresponding to 23 MeSH Headings. The long label big nodes denote diseases in MeSH terminologies; the small nodes denote genes. The size of the node is positively related to the number of linked genes. Different colors represent different diseases. Genes located in the center of the network are associated with several diseases (e.g. SCN1A, KCNQ2). Genes located at the periphery of the network are associated with a single disease (e.g. CHRNA5, CHRNB4). (B) The gene-related MeSH heading numbers are distributed from 1 to 10, with different numbers for different colors. The total number of seed genes is 1086, of which 711 (accounting for 65.47%) are only associated with one disease subtype (MeSH heading).
Table 2.
Top one enriched GO terms in the main ten modules.
Fig 3.
Interactions between 42 topological modules.
Red nodes: seed genes of modules > = 10; blue nodes: seed genes of modules < 10; green nodes: extensional modules. Node size corresponds to degree of module. The thickness of the edge is proportional to the weight, and the weight corresponds to strength of interactions.
Fig 4.
Heat map of 94 common pathways corresponding to enrichment in 20 modules.
X-axis: pathway; Y-axis: module. Color key from blue to red is representative of low to high enrichment (p value from large to small). If the cross of module and pathway form a black cell, it refers to that the pathway in the module is not enriched.
Table 3.
Combined score of top seven pair of modules.
Table 4.
The number of modules corresponded to MeSH headings.
Fig 5.
Refractory Epilepsies (RE) existing drug-target network, statistical analysis about drug- target and minimum shortest path analysis.
(A) Drug-target network. Blue nodes: drugs; red nodes: targets. The network was generated by using the known associations between drugs and their targets from the DrugBank and Sider databases. The size of each drug (target) node is proportional to the number of targets that the drug has (the number of drugs targeting the protein), respectively. A link is placed between a drug node and a target node if the protein is a known target of that drug. One drug can target multiple proteins, and one protein can be targeted by multiple drugs. (B) Distribution of drugs with respect to the number of their targets; (C) Distribution of targets with respect to the number of effective drugs. (D) Distribution of the shortest distances of the actual data and random protein groups.
Fig 6.
(A) Protein classification network of module M155. The protein nodes are color-coded. Light pink nodes: currently known epilepsy drug targets which are not seed genes; green nodes: currently known drug targets, not specific for epilepsy, which are not seed genes; red nodes: currently unknown drug targets which are also not seed genes; blue nodes: currently known epilepsy drug targets which are also seed genes; yellow nodes: currently known drug targets—seed genes, not specific for epilepsy; purple nodes: currently unknown drug targets—seed genes, not specific for epilepsy. (B) Protein classification network of module M65. The node coloring is the same as that of module M155.
Table 5.
Expression of potential drug targets in tissues and cells.