Table 1.
Brief introduction of network pharmacological technologies methods and tools.
Mainly experimental techniques and tools in network pharmacology | |||
---|---|---|---|
Technique | Application fields | Advantage | Literatures |
| |||
HTS/HCS | Massive data acquisition | Homogeneous, multidimensional phenotypic detection, dynamic real-time monitoring, and visualization | [28, 29] |
PCR chip | Massive data acquisition | Dual high throughput, strong specificity, high sensitivity, and good repeatability | [30] |
SPR | Massive data acquisition | No marks, high-throughput, high-precision, and real-time detection | [31, 32] |
BLI | Massive data acquisition | No marks, high-throughput, high-precision, and real-time detection | [31, 32] |
Cytoscape | Network visualization | Graphic operation, construct simple network, plugin support for analysis, and easy to use | [37] |
GUESS | Network visualization | Graphic operation, command line, and script support for analysis | [38] |
Pajek | Network visualization | Graphic operation, building large-scale network | [39] |
Network topology information calculation | Network analysis | Classify and sequence the nodes, reflect hidden information | [34] |
Random network creation and comparison | Network analysis | Verify reliability of existing network | [35] |
Network layer and clustering | Network analysis | Simplify the complexity of network, find out potential information | [36] |