Genentech Inc., South San Francisco, CA, USA.
Biogen-Idec, Cambridge, MA, USA.
Drug Discov Today. 2017 Oct;22(10):1447-1459. doi: 10.1016/j.drudis.2017.04.015. Epub 2017 May 2.
With inadequate efficacy being the primary cause for the attrition of drug candidates in clinical development, the need to better predict clinical efficacy earlier in the drug development process has increased in importance in the pharmaceutical industry. Here, we review current applications of translational pharmacokinetic-pharmacodynamic (PK-PD) modeling of preclinical data in the pharmaceutical industry, including best practices. Preclinical translational PK-PD modeling has been used in many therapeutic areas and has been impactful to drug development. The role of preclinical translational PK-PD modeling in drug discovery and development will continue to evolve and broaden, given that its broad implementation in the pharmaceutical industry is relatively recent and many opportunities still exist for its further application.
由于临床开发中候选药物的淘汰主要是由于疗效不足,因此在药物开发过程中更早地预测临床疗效的需求在制药行业变得越来越重要。在这里,我们回顾了当前在制药行业中应用转化药代动力学-药效学(PK-PD)模型来预测临床前数据的情况,包括最佳实践。临床前转化 PK-PD 模型已在许多治疗领域得到应用,并对药物开发产生了影响。鉴于其在制药行业中的广泛应用相对较新,并且仍然有很多机会进一步应用,因此临床前转化 PK-PD 模型在药物发现和开发中的作用将继续发展和扩大。