Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
Clin Pharmacol Ther. 2010 Jul;88(1):135-7. doi: 10.1038/clpt.2010.81. Epub 2010 Jun 9.
Pharmaceutical researchers have undertaken many initiatives and technologies to stem the rising costs of drug discovery and development. Biomarkers, adaptive trial designs, modeling, trial simulations, predictive metabolism, data mining, and disease models have reshaped the way in which researchers approach discovery and development. Quantitative pharmacology (QP), which leverages model-based approaches, operates at both cultural and technical levels to integrate data and scientific disciplines so as to utilize existing knowledge while concomitantly enhancing the ability to make predictions about future experiments and results.
制药研究人员已经采取了许多措施和技术来遏制药物发现和开发成本的上升。生物标志物、适应性试验设计、建模、试验模拟、预测代谢、数据挖掘和疾病模型改变了研究人员进行发现和开发的方式。定量药理学(QP)利用基于模型的方法,在文化和技术层面上进行操作,以整合数据和科学学科,从而利用现有知识,同时提高对未来实验和结果进行预测的能力。