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The Design and Application of Target-Focused Compound Libraries

机译:目标复合图书馆的设计与应用

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摘要

Target-focused compound libraries are collections of compounds which are designed to interact with an individual protein target or, frequently, a family of related targets (such as kinases, voltage-gated ion channels, serine/cysteine proteases). They are used for screening against therapeutic targets in order to find hit compounds that might be further developed into drugs. The design of such libraries generally utilizes structural information about the target or family of interest. In the absence of such structural information, a chemogenomic model that incorporates sequence and mutagenesis data to predict the properties of the binding site can be employed. A third option, usually pursued when no structural data are available, utilizes knowledge of the ligands of the target from which focused libraries can be developed via scaffold hopping. Consequently, the methods used for the design of target-focused libraries vary according to the quantity and quality of structural or ligand data that is available for each target family. This article describes examples of each of these design approaches and illustrates them with case studies, which highlight some of the issues and successes observed when screening target-focused libraries.
机译:靶向靶标的化合物库是设计成与单个蛋白质靶标或通常与一系列相关靶标(例如激酶,电压门控离子通道,丝氨酸/半胱氨酸蛋白酶)相互作用的化合物的集合。它们用于针对治疗目标进行筛选,以找到可能进一步发展为药物的命中化合物。这种库的设计通常利用有关目标或目标家族的结构信息。在缺乏这种结构信息的情况下,可以采用结合序列和诱变数据以预测结合位点的性质的化学基因组模型。第三选择通常在没有结构数据可用时进行,其利用靶标的配体的知识,可以通过支架跳跃从靶标的配体中开发。因此,根据每个目标家族可用的结构或配体数据的数量和质量,用于设计针对目标的文库的方法会有所不同。本文介绍了每种设计方法的示例,并通过案例研究进行了说明,其中重点介绍了筛选目标库时观察到的一些问题和成功。

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