Biophysical characterization of recombinant proteins: a key to higher structural genomics success.
Biophysical characterization of recombinant proteins: a key to higher structural genomics success.
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DOI：
10.1016/j.jsb.2010.05.005
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发表时间：
2010-10
影响因子：
3
通讯作者：
Wasney, Gregory A.
中科院分区：
文献类型：
--
作者：
Vedadi, Masoud;Arrowsmith, Cheryl H.;Allali-Hassani, Abdellah;Senisterra, Guillermo;Wasney, Gregory A.
到目前为止，已经成功地对数百个基因组进行了测序，并且数据是公开的。与此同时，重组蛋白的大规模表达和纯化的进步为结构基因组学的努力铺平了道路。然而，通常对新表达的蛋白质知之甚少，需要大规模的蛋白质表征来更好地了解它们的生化作用并使结构-功能关系研究成为可能。在结构基因组学联盟（SGC）中，我们已经建立了一个平台来表征大量纯化蛋白。这包括筛选配体，酶分析，肽阵列和肽置换在384孔格式。在这篇综述中，我们更详细地描述了这个平台，并报告了我们的方法如何显著提高结构确定的成功率。结合高分辨率x射线晶体学和结构引导方法，该平台还可以通过针对各种化学系列和重点化学文库筛选蛋白质家族来开发化学探针。
Hundreds of genomes have been successfully sequenced to date, and the data are publicly available. At the same time, the advances in large-scale expression and purification of recombinant proteins have paved the way for structural genomics efforts. Frequently, however, little is known about newly expressed proteins calling for large-scale protein characterization to better understand their biochemical roles and to enable structure–function relationship studies. In the Structural Genomics Consortium (SGC), we have established a platform to characterize large numbers of purified proteins. This includes screening for ligands, enzyme assays, peptide arrays and peptide displacement in a 384-well format. In this review, we describe this platform in more detail and report on how our approach significantly increases the success rate for structure determination. Coupled with high-resolution X-ray crystallography and structure-guided methods, this platform can also be used toward the development of chemical probes through screening families of proteins against a variety of chemical series and focused chemical libraries.
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影响因子：
2.9
作者：
BRANDTS, JF;LIN, LN
通讯作者：
LIN, LN
影响因子：
8
作者：
Day, YSN;Baird, CL;Myszka, DG
通讯作者：
Myszka, DG
DOI：
10.1073/pnas.0708800104
发表时间：
2007-12-18
影响因子：
11.1
作者：
Fedorov, Oleg;Marsden, Brian;Knapp, Stefan
通讯作者：
Knapp, Stefan
影响因子：
16.8
作者：
Couture, Jean-Francois;Collazo, Evys;Trievel, Raymond C.
通讯作者：
Trievel, Raymond C.
影响因子：
2.9
作者：
Epand, RF;Epand, RM
通讯作者：
Epand, RM