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使用蛋白质组平行分析对片段文库进行无标记初步筛选和亲和力排序。

Label-free primary screening and affinity ranking of fragment libraries using parallel analysis of protein panels.

作者信息

Hämäläinen Markku D, Zhukov Andrei, Ivarsson Maria, Fex Tomas, Gottfries Johan, Karlsson Robert, Björsne Magnus

机构信息

GE Healthcare Biosciences, R&D, Uppsala, Sweden.

出版信息

J Biomol Screen. 2008 Mar;13(3):202-9. doi: 10.1177/1087057108314651. Epub 2008 Feb 12.

DOI:10.1177/1087057108314651
PMID:18270366
Abstract

The authors present fragment screening data obtained using a label-free parallel analysis approach where the binding of fragment library compounds to 4 different target proteins can be screened simultaneously using surface plasmon resonance detection. They suggest this method as a first step in fragment screening to identify and select binders, reducing the demanding requirements on subsequent X-ray or nuclear magnetic resonance studies, and as a valuable "clean-up" tool to eliminate unwanted promiscuous binders from libraries. A small directed fragment library of known thrombin binders and a general 500-compound fragment library were used in this study. Thrombin, blocked thrombin, carbonic anhydrase, and glutathione-S-transferase were immobilized on the sensor chip surface, and the direct binding of the fragments was studied in real time. Only 12 microg of each protein is needed for screening of a 3000-compound fragment library. For screening, a binding site-blocked target as reference facilitates the identification of binding site-selective hits and the signals from other reference proteins for the elimination of false positives. The scope and limitations of this screening approach are discussed for both target-directed and general fragment libraries.

摘要

作者展示了使用无标记平行分析方法获得的片段筛选数据,该方法可利用表面等离子体共振检测同时筛选片段文库化合物与4种不同靶蛋白的结合情况。他们认为此方法是片段筛选中识别和选择结合物的第一步,可降低后续X射线或核磁共振研究的苛刻要求,也是一种有价值的“清理”工具,用于从文库中去除不需要的混杂结合物。本研究使用了一个已知凝血酶结合物的小型定向片段文库和一个包含500种化合物的通用片段文库。将凝血酶、封闭的凝血酶、碳酸酐酶和谷胱甘肽-S-转移酶固定在传感器芯片表面,实时研究片段的直接结合情况。筛选一个包含3000种化合物的片段文库,每种蛋白质仅需12微克。筛选时,以结合位点封闭的靶标作为参考,有助于识别结合位点选择性命中物,并利用其他参考蛋白的信号消除假阳性。针对定向片段文库和通用片段文库,讨论了这种筛选方法的适用范围和局限性。

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