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基于结构生物信息学的选择性不可逆激酶抑制剂设计

Structural bioinformatics-based design of selective, irreversible kinase inhibitors.

作者信息

Cohen Michael S, Zhang Chao, Shokat Kevan M, Taunton Jack

机构信息

Program in Chemistry and Chemical Biology, and Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94143-2280, USA.

出版信息

Science. 2005 May 27;308(5726):1318-21. doi: 10.1126/science1108367.

Abstract

The active sites of 491 human protein kinase domains are highly conserved, which makes the design of selective inhibitors a formidable challenge. We used a structural bioinformatics approach to identify two selectivity filters, a threonine and a cysteine, at defined positions in the active site of p90 ribosomal protein S6 kinase (RSK). A fluoromethylketone inhibitor, designed to exploit both selectivity filters, potently and selectively inactivated RSK1 and RSK2 in mammalian cells. Kinases with only one selectivity filter were resistant to the inhibitor, yet they became sensitized after genetic introduction of the second selectivity filter. Thus, two amino acids that distinguish RSK from other protein kinases are sufficient to confer inhibitor sensitivity.

摘要

491个人类蛋白激酶结构域的活性位点高度保守,这使得设计选择性抑制剂成为一项艰巨的挑战。我们采用结构生物信息学方法,在p90核糖体蛋白S6激酶(RSK)活性位点的特定位置鉴定出两个选择性过滤器,一个苏氨酸和一个半胱氨酸。一种设计用于利用这两个选择性过滤器的氟甲基酮抑制剂,能在哺乳动物细胞中有效且选择性地使RSK1和RSK2失活。只有一个选择性过滤器的激酶对该抑制剂有抗性,但在通过基因手段引入第二个选择性过滤器后,它们变得敏感了。因此,区分RSK与其他蛋白激酶的两个氨基酸足以赋予抑制剂敏感性。

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