Biological network inference for drug discovery.

摘要: A better understanding of the pathophysiology should help deliver drugs whose targets are involved in causative processes underlying a disease. Biological network inference uses computational methods for deducing from high-throughput experimental data, topology and causal structure interactions among their targets. Therefore, biological can support contribute to identification both gene protein networks causing disease as well biochemical metabolism mechanisms action. The resulting high-level serve foundational basis more detailed mechanistic models increasingly used drug discovery by pharmaceutical biotechnology companies. We review compare recent technologies applied discovery.