Munson Mark, Lieberman Harvey, Tserlin Elina, Rocnik Jennifer, Ge Jie, Fitzgerald Maria, Patel Vinod, Garcia-Echeverria Carlos
Lead Generation Candidate Realization, Sanofi, 153 Second Avenue, Waltham, MA 02451, USA.
Lead Generation Candidate Realization, Sanofi, 153 Second Avenue, Waltham, MA 02451, USA.
Drug Discov Today. 2015 Aug;20(8):978-87. doi: 10.1016/j.drudis.2015.03.010. Epub 2015 Mar 24.
Herein, we report a novel and general method, lead optimization attrition analysis (LOAA), to benchmark two distinct small-molecule lead series using a relatively unbiased, simple technique and commercially available software. We illustrate this approach with data collected during lead optimization of two independent oncology programs as a case study. Easily generated graphics and attrition curves enabled us to calibrate progress and support go/no go decisions on each program. We believe that this data-driven technique could be used broadly by medicinal chemists and management to guide strategic decisions during drug discovery.
在此，我们报告一种新颖且通用的方法——先导优化损耗分析（LOAA），该方法使用相对无偏倚、简单的技术和商业可用软件对两个不同的小分子先导系列进行基准测试。作为案例研究，我们用在两个独立肿瘤学项目的先导优化过程中收集的数据来说明这种方法。易于生成的图表和损耗曲线使我们能够校准进展情况，并支持对每个项目做出继续/终止的决策。我们相信，这种数据驱动的技术可被药物化学家及管理层广泛用于指导药物发现过程中的战略决策。
