Network-Driven Drug Discovery: An Application of In-Memory Distributed Processing
Network biology views cells as networks of interacting molecules and cellular function as an emergent properties of these networks. If healthy cellular function arises from the normal molecular interactions within the cell then disease mechanisms can be considered as emerging from collections of pathological interactions that only occur in the disease state. Network-driven drug discovery is a practical, in-silico approach to the discovery of new medicines based on the construction and analysis of network representations of disease mechanisms. The talk will discuss the computational techniques used by network-driven drug discovery, and lessons learnt during their in-memory implementation.