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设计保真度:用于小分子DNA编码文库和药物发现的纳升反应器与粘合剂捕集富集技术

Fidelity by design: Yoctoreactor and binder trap enrichment for small-molecule DNA-encoded libraries and drug discovery.

作者信息

Blakskjaer Peter, Heitner Tara, Hansen Nils Jakob Vest

机构信息

Vipergen ApS, Gammel Kongevej 23A, 1610 Copenhagen V, Denmark.

Vipergen ApS, Gammel Kongevej 23A, 1610 Copenhagen V, Denmark.

出版信息

Curr Opin Chem Biol. 2015 Jun;26:62-71. doi: 10.1016/j.cbpa.2015.02.003. Epub 2015 Feb 28.

Abstract

DNA-encoded small-molecule library (DEL) technology allows vast drug-like small molecule libraries to be efficiently synthesized in a combinatorial fashion and screened in a single tube method for binding, with an assay readout empowered by advances in next generation sequencing technology. This approach has increasingly been applied as a viable technology for the identification of small-molecule modulators to protein targets and as precursors to drugs in the past decade. Several strategies for producing and for screening DELs have been devised by both academic and industrial institutions. This review highlights some of the most significant and recent strategies along with important results. A special focus on the production of high fidelity DEL technologies with the ability to eliminate screening noise and false positives is included: using a DNA junction called the Yoctoreactor, building blocks (BBs) are spatially confined at the center of the junction facilitating both the chemical reaction between BBs and encoding of the synthetic route. A screening method, known as binder trap enrichment, permits DELs to be screened robustly in a homogeneous manner delivering clean data sets and potent hits for even the most challenging targets.

摘要

DNA编码小分子文库(DEL)技术能够以组合方式高效合成大量类药物小分子文库,并采用单管法进行结合筛选,借助下一代测序技术的进展实现检测读出。在过去十年中,这种方法越来越多地被用作识别小分子调节剂以作用于蛋白质靶点以及作为药物前体的可行技术。学术机构和工业机构都设计了几种生产和筛选DEL的策略。本综述重点介绍了一些最重要和最新的策略以及重要成果。特别关注了具有消除筛选噪声和假阳性能力的高保真DEL技术的生产:使用一种称为Yoctoreactor的DNA连接体,构建模块(BBs)被空间限制在连接体中心,这既有利于BBs之间的化学反应,也有利于合成路线的编码。一种称为结合物捕获富集的筛选方法,允许以均相方式稳健地筛选DEL,即使对于最具挑战性的靶点也能提供干净的数据集和有效的命中物。

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