Table 2.
Various approaches to drug repurposing.
| Sl.no | Approaches to drug repurposing | Description |
|---|---|---|
| 1 | In silico drug repurposing | Database consists of information gathered from research, clinical trials, reports of label uses, and other published datas |
| 1.1. | Text mining approach | Mine the information and identify the connections or relationships |
| 1.2 | Cluster approaches | Can discover novel drug-target or drug-disease relationships based on the concept that biological entities and network of same module have identical characters. |
| 1.3 | Propagation approach | Useful in discovering disease-genes, disease-disease, and target- disease relationships based on the concept that information transferred from source node to network nodes and to various sub network nodes. |
| 1.4 | Semantics approach | Biological entity relationships are found out from data in medical databases and a semantic network is built also based on existing ontology network and algorithms are developed to discover relationship in the network. |
| 1.5 | Databases and resources | Maintained with the purpose of storing, managing and retrieving information. Different types of databases used include pharmacological databases, chemical databases, proteomics databases |
| 2 | Biological approaches | Models are developed based on understanding of molecular level pathways and simulate physiological environment of target proteins |
| 3 | Experimental approaches | Based on experimentation including targets screening, cell assay, animal model and clinical trials |
| 4 | Mixed approaches | It is a mixture of computational observation, biological experiments and clinical testing. |
| 5 | Knowledge-based repurposing | Based on the knowledge of researchers and doctors and their capability and skill to interpret observations. |