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无缝珠到微阵列筛选:从大型组合文库中快速鉴定出亲和力最高的蛋白质配体。

Seamless bead to microarray screening: rapid identification of the highest affinity protein ligands from large combinatorial libraries.

作者信息

Astle John M, Simpson Levi S, Huang Yong, Reddy M Muralidhar, Wilson Rosemary, Connell Steven, Wilson Johnnie, Kodadek Thomas

机构信息

Departments of Internal Medicine and Molecular Biology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9185, USA.

出版信息

Chem Biol. 2010 Jan 29;17(1):38-45. doi: 10.1016/j.chembiol.2009.12.015.

Abstract

Several approaches have been developed for screening combinatorial libraries or collections of synthetic molecules for agonists or antagonists of protein function, each with its own advantages and limitations. In this report, we describe an experimental platform that seamlessly couples massively parallel bead-based screening of one-bead one-compound combinatorial libraries with microarray-based quantitative comparisons of the binding affinities of the many hits isolated from the bead library. Combined with other technical improvements, this technique allows the rapid identification of the best protein ligands in combinatorial libraries containing millions of compounds without the need for labor-intensive resynthesis of the hits.

摘要

已经开发出几种方法来筛选合成分子的组合文库或集合,以寻找蛋白质功能的激动剂或拮抗剂,每种方法都有其自身的优点和局限性。在本报告中,我们描述了一个实验平台,该平台将基于珠子的单珠单化合物组合文库的大规模平行筛选与基于微阵列的从珠子文库中分离出的众多命中物结合亲和力的定量比较无缝结合。结合其他技术改进,该技术能够在包含数百万种化合物的组合文库中快速鉴定出最佳蛋白质配体,而无需对命中物进行劳动密集型的重新合成。

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