Network analysis has diverse roles in drug discovery.

Computational biologists use network analysis to uncover relationships between various data types of interest for drug discovery. For example, signalling and metabolic pathways are commonly used to understand disease states and drug mechanisms. However, several other flavours of network analysis techniques are also applicable in a drug discovery context.

The role of translational bioinformatics in drug discovery.

The application of translational approaches (e.g. from bed to bench and back) is gaining momentum in the pharmaceutical industry.