Table 5.
The approaches for the prediction of drug combination.
| Number | Approach name | Description | Reference | 
|---|---|---|---|
| 1 | High-throughput screening method | In vitro approaches | (Borisy et al., 2003; Lehár et al., 2009) | 
| 2 | Multiplex screening for interacting compounds (MuSIC) | In vitro approaches | (Tan et al., 2012) | 
| 3 | Several computational approaches | By integrating network analysis and chemical biology data | (Chou, 2010; Zhao et al., 2011; Tang et al., 2013) | 
| 4 | Simple feature-enrich method | By simple feature-enrich method to predict drug combinations | (Zhao et al., 2011) | 
| 5 | Probability ensemble approach (PEA model) | By the integration of the molecular chemical space, the pharmacological space, the gene annotations, and the biological networks | (Li et al., 2015b) |