Model-informed target identification and validation through combining quantitative systems pharmacology with network-based analysis

摘要

One of the main areas where quantitative systems pharmacology (QSP) can impact drug discovery and development is target identification and validation. However, due to the multiscale nature and complexity of typical QSP models, the target space that can be explored is still significantly constrained. Therefore, we propose to combine QSP with network-based analysis (NBA) to increase the efficiency and effectiveness of in silico (model-informed) target identification and validation.