Na James, Hu Qiyue
Pfizer Global Research and Development, La Jolla Laboratories, San Diego, CA, USA.
Methods Mol Biol. 2011;685:219-40. doi: 10.1007/978-1-60761-931-4_11.
A successful fragment-based lead discovery (FBLD) campaign largely depends on the content of the fragment collection being screened. To design a successful fragment collection, several factors must be considered, including collection size, property filters, hit follow-up considerations, and screening methods. In this chapter, we will discuss each factor and how it was applied to the design and assembly of one or more fragment collections in a major pharmaceutical company setting. We will also present examples and statistics of screening results from such collections and how subsequent collections can be improved. Lastly, we will provide a summary comparison of selected fragment collections from literature.
一次成功的基于片段的先导化合物发现(FBLD)活动在很大程度上取决于所筛选片段库的内容。要设计一个成功的片段库,必须考虑几个因素,包括库的大小、性质筛选、命中物跟进考量以及筛选方法。在本章中,我们将讨论每个因素,以及它是如何应用于一家大型制药公司环境中一个或多个片段库的设计和组装的。我们还将展示这些库的筛选结果示例和统计数据,以及后续库如何改进。最后,我们将对文献中选定的片段库进行总结比较。