Gunter Bert, Brideau Christine, Pikounis Bill, Liaw Andy
Biometrics Research Department, Merck Research Laboratories, Rahway, NJ 07065-0900, USA.
J Biomol Screen. 2003 Dec;8(6):624-33. doi: 10.1177/1087057103258284.
High-throughput screening (HTS) is used in modern drug discovery to screen hundreds of thousands to millions of compounds on selected protein targets. It is an industrial-scale process relying on sophisticated automation and state-of-the-art detection technologies. Quality control (QC) is an integral part of the process and is used to ensure good quality data and mini mize assay variability while maintaining assay sensitivity. The authors describe new QC methods and show numerous real examples from their biologist-friendly Stat Server HTS application, a custom-developed software tool built from the commercially available S-PLUS and Stat Server statistical analysis and server software. This system remotely processes HTS data using powerful and sophisticated statistical methodology but insulates users from the technical details by outputting results in a variety of readily interpretable graphs and tables. It allows users to visualize HTS data and examine assay performance during the HTS campaign to quickly react to or avoid quality problems.
高通量筛选（HTS）在现代药物研发中用于针对选定的蛋白质靶点筛选数十万至数百万种化合物。它是一个工业规模的过程，依赖于先进的自动化技术和最先进的检测技术。质量控制（QC）是该过程不可或缺的一部分，用于确保获得高质量的数据，并在保持检测灵敏度的同时将检测变异性降至最低。作者介绍了新的质量控制方法，并展示了许多来自其对生物学家友好的Stat Server HTS应用程序的实际示例，该应用程序是一个基于商业可用的S-PLUS和Stat Server统计分析及服务器软件定制开发的软件工具。该系统使用强大而复杂的统计方法远程处理高通量筛选数据，但通过以各种易于解释的图表和表格形式输出结果，使用户无需了解技术细节。它允许用户在高通量筛选活动期间可视化高通量筛选数据并检查检测性能，以便快速应对或避免质量问题。
