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分子视角下因子 VII Gla 结构域对磷脂酸的优先结合

Molecular View into Preferential Binding of the Factor VII Gla Domain to Phosphatidic Acid.

机构信息

Theoretical and Computational Biophysics Group, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.

Department of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States.

出版信息

Biochemistry. 2022 Aug 16;61(16):1694-1703. doi: 10.1021/acs.biochem.2c00266. Epub 2022 Jul 19.

Abstract

Factor VII (FVII) is a serine protease with a key role in initiating the coagulation cascade. It is part of a family of vitamin K-dependent clotting proteins, which require vitamin K for formation of their specialized membrane-binding domains (Gla domains). Membrane binding of the FVII Gla domain is critical to the activity of FVII, mediating the formation of its complex with other clotting factors. While Gla domains among coagulation factors are highly conserved in terms of amino acid sequence and structure, they demonstrate differential binding specificity toward anionic lipids. Although most Gla domain-containing clotting proteins display a strong preference for phosphatidylserine (PS), it has been demonstrated that FVII and protein C instead bind preferentially to phosphatidic acid (PA). We have developed the first model of the FVII Gla domain bound to PA lipids in membranes containing PA, the highly mobile membrane mimetic model, which accelerates slow diffusion of lipids in molecular dynamics simulations and therefore facilitates the membrane binding process and enhances sampling of lipid interactions. Simulations were performed using atomic level molecular dynamics, requiring a fixed charge to all atoms. The overall charge assigned to each PA lipid for this study was -1. We also developed an additional model of the FVII Gla domain bound to a 1:1 PS/PC membrane and compared the modes of binding of PS and PA lipids to FVII, allowing us to identify potential PA-specific binding sites.

摘要

凝血因子 VII(FVII)是一种丝氨酸蛋白酶,在启动凝血级联反应中起着关键作用。它是维生素 K 依赖性凝血蛋白家族的一部分,这些蛋白的特殊膜结合结构域(Gla 结构域)的形成需要维生素 K。FVII 的 Gla 结构域与膜的结合对于 FVII 的活性至关重要,它介导了 FVII 与其复合物与其他凝血因子的形成。虽然凝血因子中的 Gla 结构域在氨基酸序列和结构上高度保守,但它们在阴离子脂质的结合特异性上表现出差异。尽管大多数含有 Gla 结构域的凝血蛋白对磷脂酰丝氨酸(PS)表现出强烈的偏好,但已经证明 FVII 和蛋白 C 反而优先与磷脂酸(PA)结合。我们已经开发了第一个在含有 PA 的膜中与 PA 脂质结合的 FVII Gla 结构域模型,即高度可移动的膜模拟模型,该模型加速了分子动力学模拟中脂质的缓慢扩散,从而促进了膜结合过程并增强了脂质相互作用的采样。模拟使用原子水平的分子动力学进行,需要对所有原子进行固定电荷处理。本研究中每个 PA 脂质的总电荷为-1。我们还开发了一个 FVII Gla 结构域与 1:1 PS/PC 膜结合的附加模型,并比较了 PS 和 PA 脂质与 FVII 的结合模式,使我们能够确定潜在的 PA 特异性结合位点。

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1
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3
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J Thromb Haemost. 2017 Oct;15(10):2005-2016. doi: 10.1111/jth.13788. Epub 2017 Sep 1.
4
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5
Extension of the Highly Mobile Membrane Mimetic to Transmembrane Systems through Customized in Silico Solvents.
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9
Atomic-level description of protein-lipid interactions using an accelerated membrane model.
Biochim Biophys Acta. 2016 Jul;1858(7 Pt B):1573-83. doi: 10.1016/j.bbamem.2016.02.027. Epub 2016 Mar 2.
10
CHARMM-GUI HMMM Builder for Membrane Simulations with the Highly Mobile Membrane-Mimetic Model.
Biophys J. 2015 Nov 17;109(10):2012-22. doi: 10.1016/j.bpj.2015.10.008.

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