Novartis Institute for Biomedical Research, Cambridge, Massachusetts, USA.
Novartis Pharma AG, Basel, Switzerland.
CPT Pharmacometrics Syst Pharmacol. 2018 Aug;7(8):487-489. doi: 10.1002/psp4.12311. Epub 2018 Aug 22.
Quantitative Systems Pharmacology (QSP) models provide a means of integrating knowledge into a quantitative framework and, ideally, this integration leads to a better understanding of biology and better predictions of new experiments and clinical trials. In practice, these goals may be compromised by model complexity and uncertainty. To address these problems, we recommend that the predictive performance of QSP models be assessed through comparison with simpler models developed specifically for this purpose.
定量系统药理学（QSP）模型为知识整合到定量框架中提供了一种手段，理想情况下，这种整合将导致更好地理解生物学，并更好地预测新的实验和临床试验。实际上，这些目标可能会因模型的复杂性和不确定性而受到影响。为了解决这些问题，我们建议通过与专门为此目的开发的更简单模型进行比较来评估 QSP 模型的预测性能。
