Suppr超能文献

跨膜丝氨酸蛋白酶2(TMPRSS2)中一个假定变构结合口袋的计算鉴定

Computational Identification of a Putative Allosteric Binding Pocket in TMPRSS2.

作者信息

Sgrignani Jacopo, Cavalli Andrea

机构信息

Institute for Research in Biomedicine, Università della Svizzera Italiana, Bellinzona, Switzerland.

Swiss Institute of Bioinformatics, Lausanne, Switzerland.

出版信息

Front Mol Biosci. 2021 Apr 30;8:666626. doi: 10.3389/fmolb.2021.666626. eCollection 2021.

Abstract

Camostat, nafamostat, and bromhexine are inhibitors of the transmembrane serine protease TMPRSS2. The inhibition of TMPRSS2 has been shown to prevent the viral infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other viruses. However, while camostat and nafamostat inhibit TMPRSS2 by forming a covalent adduct, the mode of action of bromhexine remains unclear. TMPRSS2 is autocatalytically activated from its inactive form, zymogen, through a proteolytic cleavage that promotes the binding of Ile256 to a putative allosteric pocket (A-pocket). Computer simulations, reported here, indicate that Ile256 binding induces a conformational change in the catalytic site, thus providing the atomistic rationale to the activation process of the enzyme. Furthermore, computational docking and molecular dynamics simulations indicate that bromhexine competes with the N-terminal Ile256 for the same binding site, making it a potential allosteric inhibitor. Taken together, these findings provide the atomistic basis for the development of more selective and potent TMPRSS2 inhibitors.

摘要

抑肽酶、那法莫司他和溴己新是跨膜丝氨酸蛋白酶TMPRSS2的抑制剂。已证明抑制TMPRSS2可预防严重急性呼吸综合征冠状病毒2(SARS-CoV-2)和其他病毒的感染。然而,虽然抑肽酶和那法莫司他通过形成共价加合物来抑制TMPRSS2,但溴己新的作用方式仍不清楚。TMPRSS2从其无活性形式即酶原通过蛋白水解切割自催化激活,该切割促进Ile256与假定的变构口袋(A口袋)结合。本文报道的计算机模拟表明,Ile256结合会引起催化位点的构象变化,从而为该酶的激活过程提供了原子层面的理论依据。此外,计算对接和分子动力学模拟表明,溴己新与N端的Ile256竞争相同的结合位点,使其成为一种潜在的变构抑制剂。综上所述,这些发现为开发更具选择性和强效的TMPRSS2抑制剂提供了原子层面的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca22/8119889/3a4cc3146a40/fmolb-08-666626-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验