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颗粒钙蛋白的分子建模、分子动力学模拟及主成分动力学分析:实验性自身免疫性脑脊髓炎小鼠中上调的生物标志物

Molecular modeling, molecular dynamics simulation, and essential dynamics analysis of grancalcin: An upregulated biomarker in experimental autoimmune encephalomyelitis mice.

作者信息

Paul Shamrat Kumar, Saddam Md, Rahaman Khandoker Asiqur, Choi Jong-Gu, Lee Sang-Suk, Hasan Mahbub

机构信息

Department of Biochemistry and Molecular Biology, Life Science Faculty, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh.

Division of Biomedical Science and Technology, KIST-School, Korea University of Science and Technology, Seoul 02792, South Korea.

出版信息

Heliyon. 2022 Oct 23;8(10):e11232. doi: 10.1016/j.heliyon.2022.e11232. eCollection 2022 Oct.

Abstract

The experimental autoimmune encephalomyelitis mouse model is the most commonly used animal model, and it best represents multiple sclerosis. Grancalcin (GCA) was discovered to be upregulated in EAE mice. GCA comprises 220 amino acids that have been assigned the UniprotKB ID Q8VC88. It is a calcium-binding protein that helps neutrophils adhere to fibronectin and the formation of focal adhesions. However, the protein data bank does not contain the crystal structure of mouse GCA. The current study aims to analyze the structural and physicochemical properties of GCA. Mouse GCA showed a high percentage identity (87%) with the crystal structure of des (1-52) grancalcin with bound calcium (chain A) from identified by its PDB id 1k94_A. Using the SWISS-MODEL server, we used 1k94_A as a template protein to model the mouse GCA protein. Compared to the template structure 1K94, three potential binding sites for calcium-binding have been proposed, ranging from 13 to 20, 80 to 91, and 109 to 120 amino acids. On an i5 personal computer with 8GB of RAM, GROMACS 2020.1 was utilized to run a 100 ns molecular dynamics (MD) simulation. RMSD, Rg, and RMSF analysis of an MD simulation trajectory indicate a stable and compact state throughout the simulation period of modeled proteins. We found that GCA is primarily alpha helical (Class 1), with eight alpha helices. The essential dynamics analysis captures PCA and SASA, culminating in the biological motions that correspond to the last 1000 frames. These findings will aid the development of potential inhibitors as well as the determination of binding pockets and residues for drug-like molecules.

摘要

实验性自身免疫性脑脊髓炎小鼠模型是最常用的动物模型,它最能代表多发性硬化症。研究发现,在实验性自身免疫性脑脊髓炎小鼠中,颗粒钙蛋白(GCA)表达上调。GCA由220个氨基酸组成,其UniprotKB ID为Q8VC88。它是一种钙结合蛋白,有助于中性粒细胞黏附于纤连蛋白并形成黏着斑。然而,蛋白质数据库中没有小鼠GCA的晶体结构。本研究旨在分析GCA的结构和理化性质。小鼠GCA与通过PDB id 1k94_A鉴定的结合钙的去(1-52)颗粒钙蛋白(链A)的晶体结构具有较高的同一性(87%)。我们使用SWISS-MODEL服务器,以1k94_A作为模板蛋白对小鼠GCA蛋白进行建模。与模板结构1K94相比,提出了三个潜在的钙结合位点,分别位于第13至20、80至91和109至120个氨基酸处。在一台配备8GB内存的i5个人计算机上,利用GROMACS 2020.1运行了100纳秒的分子动力学(MD)模拟。对MD模拟轨迹的均方根偏差(RMSD)、回旋半径(Rg)和均方根波动(RMSF)分析表明,在整个模拟期间,建模蛋白处于稳定且紧密的状态。我们发现GCA主要为α螺旋结构(第1类),有八个α螺旋。主成分分析(PCA)和溶剂可及表面积(SASA)的本质动力学分析,最终得到了与最后1000帧相对应的生物运动。这些发现将有助于开发潜在的抑制剂,以及确定类药物分子的结合口袋和残基。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb23/9626934/9e978cd1fa8b/gr1.jpg

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