Lewell X Q, Judd D B, Watson S P, Hann M M
Glaxo Wellcome Research and Development, Medicines Research Centre, Hertfordshire, UK.
J Chem Inf Comput Sci. 1998 May-Jun;38(3):511-22. doi: 10.1021/ci970429i.
The use of combinatorial chemistry for the generation of new lead molecules is now a well established strategy in the drug discovery process. Central to the use of combinatorial chemistry is the design and availability of high quality building blocks which are likely to afford hits from the libraries that they generate. Herein we describe "RECAP" (Retrosynthetic Combinatorial Analysis Procedure), a new computational technique designed to address this building block issue. RECAP electronically fragments molecules based on chemical knowledge. When applied to databases of biologically active molecules this allows the identification of building block fragments rich in biologically recognized elements and privileged motifs and structures. This allows the design of building blocks and the synthesis of libraries rich in biological motifs. Application of RECAP to the Derwent World Drug Index (WDI) and the molecular fragments/ building blocks that this generates are discussed. We also describe a WDI fragment knowledge base which we have built which stores the drug motifs and mention its potential application in structure based drug design programs.
组合化学用于生成新的先导分子,如今在药物发现过程中已是一种成熟的策略。组合化学应用的核心在于高质量构建模块的设计与可得性,这些构建模块有望从它们所生成的文库中产生活性化合物。在此,我们描述“RECAP”(逆合成组合分析程序),这是一种旨在解决构建模块问题的新计算技术。RECAP基于化学知识对分子进行电子片段化。当应用于生物活性分子数据库时,这能识别富含生物识别元素以及特权基序和结构的构建模块片段。这有助于设计构建模块并合成富含生物基序的文库。本文讨论了RECAP在德温特世界药物索引(WDI)上的应用以及由此产生的分子片段/构建模块。我们还描述了我们构建的一个WDI片段知识库,该知识库存储了药物基序,并提及了它在基于结构的药物设计程序中的潜在应用。