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用于底物分析的位置扫描合成组合文库。

Positional scanning synthetic combinatorial libraries for substrate profiling.

作者信息

Schneider Eric L, Craik Charles S

机构信息

Department of Pharmaceutical Chemistry, The University of California, San Francisco, San Francisco, CA, USA.

出版信息

Methods Mol Biol. 2009;539:59-78. doi: 10.1007/978-1-60327-003-8_4.

Abstract

Determining the preferred substrate cleavage sequence of proteases is an important step toward understanding their roles in cancer development and progression. Knowledge of this sequence can aid in the design of new experimental tools for study as well as aid in the identification of endogenous protease substrates and signaling pathways. Various investigators have demonstrated a number of techniques to uncover these sequences, but most can be very time consuming. We have designed and successfully implemented a complete diverse ACC tetrapeptide positional scanning synthetic combinatorial library that allows for the rapid screening of proteases to determine their preferred residues at positions P1-P4. These sequences can be readily verified through kinetic measurements on single peptide substrates and utilized to further knowledge of the role of proteases in cancer.

摘要

确定蛋白酶的首选底物切割序列是理解其在癌症发展和进程中作用的重要一步。了解该序列有助于设计新的研究实验工具,并有助于识别内源性蛋白酶底物和信号通路。许多研究人员已经展示了多种揭示这些序列的技术,但大多数技术可能非常耗时。我们设计并成功实施了一个完整的多样化丙氨酸-半胱氨酸-半胱氨酸(ACC)四肽位置扫描合成组合文库,该文库可快速筛选蛋白酶,以确定其在P1 - P4位置的首选残基。通过对单个肽底物的动力学测量可以很容易地验证这些序列,并用于进一步了解蛋白酶在癌症中的作用。

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