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利用嵌合辛德毕斯病毒文库进行蛋白酶切割位点的体内筛选。

In vivo selection of protease cleavage sites by using chimeric Sindbis virus libraries.

作者信息

Pacini L, Vitelli A, Filocamo G, Bartholomew L, Brunetti M, Tramontano A, Steinkühler C, Migliaccio G

机构信息

Istituto di Ricerche di Biologia Molecolare P. Angeletti, 00040 Pomezia (Rome), Italy.

出版信息

J Virol. 2000 Nov;74(22):10563-70. doi: 10.1128/jvi.74.22.10563-10570.2000.

Abstract

Identifying protease cleavage sites contributes to our understanding of their specificity and biochemical properties and can help in designing specific inhibitors. One route to this end is the generation and screening of random libraries of cleavage sites. Both synthetic and phage-displayed libraries have been extensively used in vitro. We describe a novel system based on recombinant Sindbis virus which can be used to identify cleavage sites in vivo, thus eliminating the need for a purified enzyme and overcoming the problem of choosing the correct in vitro conditions. As a model we used the serine protease of the hepatitis C virus (HCV). We engineered the gene coding for this enzyme and two specific cleavage sites in the Sindbis virus structural gene and constructed libraries of viral genomes with a random sequence at either of the cleavage sites. The system was designed so that only viral genomes coding for sequences cleaved by the protease would produce viable viruses. With this system we selected viruses containing sequences mirroring those of the natural HCV protease substrates which were cleaved with comparable efficiencies.

摘要

识别蛋白酶切割位点有助于我们了解其特异性和生化特性,并有助于设计特异性抑制剂。实现这一目标的一条途径是生成并筛选切割位点的随机文库。合成文库和噬菌体展示文库都已在体外得到广泛应用。我们描述了一种基于重组辛德毕斯病毒的新型系统,该系统可用于在体内识别切割位点,从而无需纯化酶,并克服了选择正确体外条件的问题。作为模型,我们使用了丙型肝炎病毒(HCV)的丝氨酸蛋白酶。我们对编码该酶的基因以及辛德毕斯病毒结构基因中的两个特定切割位点进行了工程改造,并构建了在任一切割位点具有随机序列的病毒基因组文库。该系统的设计使得只有编码被蛋白酶切割序列的病毒基因组才能产生有活力的病毒。通过这个系统,我们筛选出了含有与天然HCV蛋白酶底物序列相似的病毒,这些底物能以相当的效率被切割。

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Substrate specificity of the hepatitis C virus serine protease NS3.
J Biol Chem. 1997 Apr 4;272(14):9204-9. doi: 10.1074/jbc.272.14.9204.

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